Temat: condition monitoring - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: In-process control with a sensory tool holder to avoid chatter
Autorzy:: Bleicher, F.
Schörghofer, P.
Habersohn, C.
Powiązania:: https://bibliotekanauki.pl/articles/100160.pdf
Data publikacji:: 2018
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: adaptive control
condition monitoring
chatter
Opis:: Hydro-, steam- and gas- turbines, aircraft components or moulds are milled parts with complex geometries and high requirements for surface quality. The production of such industry components often necessitates the use of long and slender tools. However, instable machining situations together with work pieces with thin wall thickness can lead to dynamic instabilities in the milling processes. Resulting chatter vibrations cause chatter marks on the work piece surface and have influence on the tool lifetime. In order to detect and avoid the occurrence of process instabilities or process failures in an early stage, the Institute for Production Engineering and Laser Technology (IFT) developed an active control system to allow an in-process adaption of machining parameters. This system consists of a sensory tool holder with an integrated low cost acceleration sensor and wireless data transmission under real time conditions. A condition monitoring system using a signal-processing algorithm, which analyses the received acceleration values, is coupled to the NC- control system of the machine tool to apply new set points for feed rate and rotational speed depending on defined optimisation strategies. By the implementation of this system process instabilities can be avoided.
Źródło:: Journal of Machine Engineering; 2018, 18, 3; 16-27
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Primary testing of an instrumented tool holder for brush deburring of milled workpieces
Autorzy:: Ramsauer, Christoph
Oswald, Ralf
Schörghofer, Paul
Leder, Norbert
Schmitz, Tony
Bleicher, Friedrich
Powiązania:: https://bibliotekanauki.pl/articles/2086281.pdf
Data publikacji:: 2022
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: condition monitoring
deburring
feature generation
Opis:: Brush deburring requires consistent contact pressure between brush and workpiece. Automating adjustments to control contact pressure has proven difficult, as the sensors available in machine tools are usually not suitable to observe the small amplitude signals caused by this low force process. Additionally, both the power consumption and the vibration signal caused by the process strongly depend on the workpiece surface features. This paper describes a test setup using an instrumented tool holder and presents the corresponding measurement results, aiming to quantify the axial feed of the brush. It also discusses the interpretation of different signal components and provides an outlook on the utilization of the data for tool wear estimation.
Źródło:: Journal of Machine Engineering; 2022, 22, 2; 99--107
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Real-time tool condition monitoring in milling by means of control charts for auto-correlated data
Autorzy:: Colosimo, B. M.
Moroni, G.
Grasso, M.
Powiązania:: https://bibliotekanauki.pl/articles/100212.pdf
Data publikacji:: 2010
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: statistical process control
profile monitoring
tool condition monitoring
Opis:: Real time monitoring of tool condirions and machining processes has been extensively studies in tne last decades, but a wide gap is stiil present between research activities and commercial tools. One of the factors which currently limit the utilization of these systems is the low flexibility of off-the-shelf solutions: in most cases they need dedicated off-line training sessions to acquire the reference patterns and thresholds, and/or the need for several input data to be defined a priori by a human operator. Instead of exploiting off-line learning sessions and a prior defined thresholds, this paper proposes an approach for automatic modelling of a cutting process and real-time monitoring of its stability that is based only on data acquired on-line during the process itself. This approach avoids any a-priori assumption about expected signal patterns, and it is characterized by an innovative implementation of well known Statistical Process Control techniques. In particular, with regard to milling processes, the paper proposes the utilization of cross-correlation coefficient between repeating signal profiles as the feature to be monitored, and an EWMA (Exponentially Weighted Moving Average) control chart for auto-correlated data as monitoring tool.
Źródło:: Journal of Machine Engineering; 2010, 10, 2; 5-17
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: A new tool in belts resistance to puncture research
Autorzy:: Bajda, M.
Błażej, R.
Jurdziak, L.
Powiązania:: https://bibliotekanauki.pl/articles/88905.pdf
Data publikacji:: 2016
Wydawca:: Politechnika Wrocławska. Wydział Geoinżynierii, Górnictwa i Geologii. Instytut Górnictwa
Tematy:: conveyor belt condition
condition monitoring
belt failures
Opis:: In the Belt Conveying Laboratory (LTT) at the Faculty of Geoengineering, Mining and Geology at Wroclaw University of Technology a new area of application has been found for the newly developed high resolution magnetic diagnostic device for assessment of steel cord conveyor belts condition. In addition to monitoring of belts during their operation on conveyors this device can be used in LTT as the new tool in belts resistance to puncture investigations. High resolution images of changes in magnetic field of magnetized cord wires can be used for evaluation of failures and cuts caused by dynamic impact of iron head (striker) during laboratory tests without belt cover removal. The usefulness of the device is even greater due to not only condition of steel cord belts can be evaluated, what for this device was developed, but it allows also on observations of failures in impact-resistant metal breakers in textile belts. Breakers are frequently made of thin wires vulcanized above carcass inside the top cover laterally to the center line of the belt. The aim of breakers is protection of the expensive core against failures caused by big lumps of rock with sharp edges falling onto belt surface in loading points. Their role is shock absorption to minimize gouging and resistance of longitudinal rips. Due to breaker wires can also be magnetized after changing the direction of samples of punctured belts they can be monitored using the developed device at the testing conveyor. In the paper the first outcomes of application of magnetic diagnostic device for evaluation of punctured steel cord belts and textile belts with metal breakers are presented.
Źródło:: Mining Science; 2016, 23; 173-182
2300-9586
2353-5423
Pojawia się w:: Mining Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: New method for determining single cutting edge breakage of a multi-tooth milling tool based on acceleration measurements of an instrumented tool holder
Autorzy:: Ramsauer, Christoph
Bleicher, Friedrich
Powiązania:: https://bibliotekanauki.pl/articles/1428710.pdf
Data publikacji:: 2021
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: condition monitoring
sensors integration
tool wear
algorithm
Opis:: In machining applications predominantly for automated machining cells, tool life is often not used to its full extend and cutting tools are exchanged prematurely to avoid tool breakage and thus machine downtime or even damage at work piece or machine. Both effective process monitoring and adequate process control require reliable data from sensors and derived indicators that enable meaningful evaluation. Acceleration measurement by the instrumented tool holder provides signals with high quality from close to the cutting zone. Using the monitoring system, the gained data of the instrumented tool holder can be analyzed especially for the use case of unexpected tool wear, chipping of the cutting edge or breakouts at end mills. This paper describes the data analysis based on the rotational sensor and the corresponding effects on the measurement, an advanced assessment of the spectral distribution in the frequency domain and the experimental results of a test series.
Źródło:: Journal of Machine Engineering; 2021, 21, 1; 67-77
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Using sensory tool holder data for optimizing production processes
Autorzy:: Schörghofer, Paul
Pauker, Florian
Leder, Norbert
Mangler, Jürgen
Ramsauer, Christoph
Bleicher, Friedrich
Powiązania:: https://bibliotekanauki.pl/articles/100070.pdf
Data publikacji:: 2019
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: adaptive control
condition monitoring
orchestration platform
Opis:: Today's highly automated manufacturing specifies the service time of a tool in a way that the tooling costs are balanced against the potential costs of a tool failure. However, the potential cost induced by a tool malfunctioning are rather high. Therefore, the current state-of-the art tackles this issue by replacing the tools prematurely at fixed intervals. To tap into the potential of under-utilized tool runtime this work purposes the use of sensory-tool holders and an interfering feedback loop to the machine tool control system. Besides its real-time closed loop control, to avoid tool failure, it also provides data in the context of (a) the work order, (b) the produced part, (c) the NC-block and command line, on (d) specific machines. Based on this data an ex-post analysis to optimize tool-life and productivity scenarios becomes possible, e.g. custom NC-programs for certain work-orders, configurations and machines. Furthermore, downstreamed work steps can be changed e.g. only to measure produced workpieces if abnormal vibrations are reported by in-process-monitoring.
Źródło:: Journal of Machine Engineering; 2019, 19, 3; 43-55
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Unsupervised detection of state changes during operation of machine elements
Autorzy:: Hillenbrand, Jonas
Fleischer, Jürgen
Powiązania:: https://bibliotekanauki.pl/articles/1429021.pdf
Data publikacji:: 2021
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: condition monitoring
clustering tracking
unsupervised learning
Opis:: Interpretation of sensor data from machine elements is challenging, if no prior knowledge of the system is available. Evaluation methods must adapt surrounding conditions and operation modes. As supervised learning models can be time-consuming to set up, unsupervised learning poses as alternative solution. This paper introduces a new clustering scheme that incorporates iterative cluster retrieval in order to track the clustering results over time. The approach is used to identify changing machine element states such as operating conditions and undesired changes, like incipient damage or wear. We show that knowledge about the evolving clusters can be used to identify operation and failure events. The approach is validated for machine elements with slide and roll contacts, such as ball screws and bearings. The data used has been captured using vibration and acoustic emission sensors. The results show a general applicability to the unsupervised monitoring of machine elements using the proposed approach.
Źródło:: Journal of Machine Engineering; 2021, 21, 2; 35-46
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Towards sustainable and intelligent machining: energy footprint and tool condition monitoring for media-assisted processes
Autorzy:: Dogan, Hakan
Jones, Llyr
Hall, Stephanie
Shokrani, Alborz
Powiązania:: https://bibliotekanauki.pl/articles/24084657.pdf
Data publikacji:: 2023
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: machining
deep learning
tool condition monitoring
energy footprint
Opis:: Reducing energy consumption is a necessity towards achieving the goal of net-zero manufacturing. In this paper, the overall energy footprint of machining Ti-6Al-4V using various cooling/lubrication methods is investigated taking the embodied energy of cutting tools and cutting fluids into account. Previous studies concentrated on reducing the energy consumption associated with the machine tool and cutting fluids. However, the investigations in this study show the significance of the embodied energy of cutting tool. New cooling/lubrication methods such as WS2-oil suspension can reduce the energy footprint of machining through extending tool life. Cutting tools are commonly replaced early before reaching their end of useful life to prevent damage to the workpiece, effectively wasting a portion of the embodied energy in cutting tools. A deep learning method is trained and validated to identify when a tool change is required based on sensor signals from a wireless sensory toolholder. The results indicated that the network is capable of classifying over 90% of the tools correctly. This enables capitalising on the entirety of a tool’s useful life before replacing the tool and thus reducing the overall energy footprint of machining processes.
Źródło:: Journal of Machine Engineering; 2023, 23, 2; 16--40
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Intelligent machining: real-time tool condition monitoring and intelligent adaptive control systems
Autorzy:: Hassan, M.
Sadek, A.
Attia, M. H.
Thomson, V.
Powiązania:: https://bibliotekanauki.pl/articles/99921.pdf
Data publikacji:: 2018
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: adaptive control
tool condition monitoring
intelligent machining
Opis:: Unmanned manufacturing systems has recently gained great interest due to the ever increasing requirements of optimized machining for the realization of the fourth industrial revolution in manufacturing ‘Industry 4.0’. Real-time tool condition monitoring (TCM) and adaptive control (AC) machining system are essential technologies to achieve the required industrial competitive advantage, in terms of reducing cost, increasing productivity, improving quality, and preventing damage to the machined part. New AC systems aim at controlling the process parameters, based on estimating the effects of the sensed real-time machining load on the tool and part integrity. Such an aspect cannot be directly monitored during the machining operation in an industrial environment, which necessitates developing new intelligent model-based process controllers. The new generations of TCM systems target accurate detection of systematic tool wear growth, as well as the prediction of sudden tool failure before damage to the part takes place. This requires applying advanced signal processing techniques to multi-sensor feedback signals, in addition to using ultra-high speed controllers to facilitate robust online decision making within the very short time span (in the order of 10 ms) for high speed machining processes. The development of new generations of Intelligent AC and TCM systems involves developing robust and swift communication of such systems with the CNC machine controller. However, further research is needed to develop the industrial internet of things (IIOT) readiness of such systems, which provides a tremendous potential for increased process reliability, efficiency and sustainability.
Źródło:: Journal of Machine Engineering; 2018, 18, 1; 5-17
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Tooling systems with integrated sensors enabling data based process optimization
Autorzy:: Bleicher, Friedrich
Ramsauer, Christoph
Leonhartsberger, Martin
Lamprecht, Matthias
Stadler, Philipp
Strasser, Dominik
Wiedermann, Clemens
Powiązania:: https://bibliotekanauki.pl/articles/1428704.pdf
Data publikacji:: 2021
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: condition monitoring
sensors integration
Industry 4.0
Opis:: Sensor integration into machining equipment has become an important factor for gaining deep process insights mainly driven by increasingly smaller and cheaper sensors and transmitters. Due to advances in microelectronics and communication technology, a broader field of applications in production processes and machine tools can be addressed using sensing devices and their implementation potentials. Ensuring a sensitive but robust data stream from close to the actual process allows not only reliable monitoring but also process and quality control based on sensor information. This paper provides an overview of the utilization of sensor data for the purpose of condition monitoring, model fitting and real-time control coping with stochastic effects. Examples of sensor integration in fields of injection molding, roll forming and heavy-duty milling comprise the state of the art of sensor implementation, data evaluation and possible feedback loops in the respective application scenarios.
Źródło:: Journal of Machine Engineering; 2021, 21, 1; 5-21
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 11.

Tytuł:: Metodyka kształtowania procesu sterowania środkiem transportu ukierunkowana na wymagany jego stan techniczny
Supervision methodology of control process of transport device focusing on his overlooked technical state
Autorzy:: Smoczek, J.
Szpytko, J.
Powiązania:: https://bibliotekanauki.pl/articles/327190.pdf
Data publikacji:: 2006
Wydawca:: Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:: monitoring
stan techniczny
sterowanie
środek transportu
condition monitoring
control
transportation device
Opis:: Jakość eksploatacji, bezpieczeństwo oraz realizowane zadania przez systemy i urządzenia transportowe (użytkowane w zautomatyzowanych procesach produkcyjnych) w istotnym stopniu zależą od informacji o oczekiwanym działaniu (procesie), czasie jej dostępu oraz poprawności działania systemu decyzyjnego. Przedmiotem wypowiedzi jest metodyka kształtowania procesu sterowania środkiem transportu ukierunkowana na wymagany jego stan techniczny, na przykładzie suwnicy pomostowej reprezentancie klasy wielkogabarytowych szynowych urządzeń transportowych.
The operation quality and safety, as well as realized tasks by transportation devices in automated manufacturing, depend on information about waited operation (the process), time of her access and running correctness of decision - making system. The paper is describing the supervision methodology of control process of transport device focusing on his overlooked technical state, on the overhead crane example (the representative of the class large dimensional rail transport devices).
Źródło:: Diagnostyka; 2006, 3(39); 19-24
1641-6414
2449-5220
Pojawia się w:: Diagnostyka
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 12.

Tytuł:: Fault diagnosis of rotating machines using vibration and bearing temperature measurements
Autorzy:: Nembhard, A. D.
Sinha, J. K.
Pinkerton, A. J.
Elbhbah, K.
Powiązania:: https://bibliotekanauki.pl/articles/328481.pdf
Data publikacji:: 2013
Wydawca:: Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:: vibration monitoring
condition monitoring
rotating machinery
fault diagnosis
principal component analysis
Opis:: Acquisition and subsequent processing of vibration data for fault diagnosis of rotating machinery with multiple bearings, such as Turbo-generator (TG) sets, can be quite involved, as data are usually required in three mutually perpendicular directions for reliable diagnosis. Consequently, the task of diagnosing faults on such systems may be daunting for even an experienced analyst. Hence, the current study aims to develop a simplified fault diagnosis (FD) method that uses just a single vibration and a single temperature sensor on each bearing. Initial trials on an experimental rotating rig indicate that supplementing vibration data with temperature measurements gave improved FD when compared with FD using vibration data alone. Observations made from the initial trials are presented in this paper.
Źródło:: Diagnostyka; 2013, 14, 3; 45-51
1641-6414
2449-5220
Pojawia się w:: Diagnostyka
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 13.

Tytuł:: Service and maintenance of marine steam turbogenerators with the assistance of vibration diagnostics
Autorzy:: Adamkiewicz, A.
Drzewieniecki, J.
Powiązania:: https://bibliotekanauki.pl/articles/260346.pdf
Data publikacji:: 2013
Wydawca:: Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:: turbogenerator
vibration diagnostic
service
maintenance
condition monitoring
signal analysis
Opis:: The paper discusses the problem of maintenance of the marine steam turbogenerator sets used in power systems on VLCC type oil tankers. The analysis of operation, monitoring and applied diagnostic methods of a selected turbogenerator working in the AT series waste energy system produced by Mitsubishi is presented. The analysis focuses on the applied maintenance method and its credibility and effectiveness in terms of technical assessment. The results of the performed maintenance actions and applied operational procedures making use of technical diagnostics and supported by a wider range of measurement capabilities of external service are presented and evaluated. The range of the study includes the readiness, reliability and safety of the use of turbogenerators being the result of the maintenance performed in accordance with the applied strategy of operation.
Źródło:: Polish Maritime Research; 2013, 1; 31-38
1233-2585
Pojawia się w:: Polish Maritime Research
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 14.

Tytuł:: DC link condition monitoring method for two-level AC/DC/AC converters
Autorzy:: Lipnicki, P.
Lewandowski, D.
Powiązania:: https://bibliotekanauki.pl/articles/1193395.pdf
Data publikacji:: 2017
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: DC link
condition monitoring
AC/DC
power electronics
converter
Opis:: Power electronics is one of the most important elements of today’s industry. Many of converters applications are being considered as critical for plant production process. Offering enhanced functionality in modern AC drives is a way to gain a competitive advantage in power converters market. One of the values to the customers comes from low cost condition monitoring of critical equipment and from optimized maintenance costs. DC bus is one of the elements of power converters. Although the designers pay a lot of attention when designing DC-link circuit, breakdowns and failures of the DC circuit components can still happen. Unfortunately this means that the whole converter must be shut down in emergency mode to be repaired. Nowadays, monitoring of the bus capacitor is becoming one of the desired features from customer side, as well as from the converter manufacturer. Proposed approach presents a method which assures the online evaluation of the equivalent series resistance (ESR) of a DC-link capacitor. The ESR increase trend is an important indicator of accelerated aging process or incoming failure of the capacitor. The important feature of the proposed condition monitoring method is that it does not require any additional sensors. For estimation purposes already installed sensors and other internal converter’s signals are used. Particularly the method employs the DC-link voltage measurement with the DC-link current reconstruction.
Źródło:: Power Electronics and Drives; 2017, 2, 37/1; 43-56
2451-0262
2543-4292
Pojawia się w:: Power Electronics and Drives
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 15.

Tytuł:: Method of machining centre sliding system fault detection using torque signals and autoencoder
Autorzy:: Augustyn, Damian
Fidali, Marek
Powiązania:: https://bibliotekanauki.pl/articles/2233649.pdf
Data publikacji:: 2023
Wydawca:: Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:: condition monitoring
torque signal
machining centre
anomaly detection
autoencoder
Opis:: The sliding system of machining centres often causes maintenance and process problems. Improper operation of the sliding system can result from wear of mechanical parts and drives faults. To detect the faulty operation of the sliding system, measurements of the torque of its servomotors can be used. Servomotor controllers can measure motor current, which can be used to calculate motor torque. For research purposes, the authors used a set of torque signals from the machining centre servomotors that were acquired over a long period. The signals were collected during a diagnostic test programmed in the machining centre controller and performed once per day. In this article, a method for detecting anomalies in torque signals was presented for the condition assessment of the machining centre sliding systems. During the research, an autoencoder was used to detect the anomaly, and the condition was assessed based on the value of the reconstruction error. The results indicate that the anomaly detection method using an autoencoder is an effective solution for detecting damage to the sliding system and can be easily used in a condition monitoring system.
Źródło:: Acta Mechanica et Automatica; 2023, 17, 3; 445--451
1898-4088
2300-5319
Pojawia się w:: Acta Mechanica et Automatica
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 16.

Tytuł:: Offline-online pattern recognition for enabling time series anomaly detection on older NC machine tools
Autorzy:: Netzer, Markus
Palenga, Yannic
Goennheimer, Philipp
Fleischer, Juergen
Powiązania:: https://bibliotekanauki.pl/articles/1428705.pdf
Data publikacji:: 2021
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: data provision
anomaly detection
machine learning
manufacturing
condition monitoring
Opis:: Intelligent IoT functions for increased availability, productivity and component quality offer significant added value to the industry. Unfortunately, many old machines and systems are characterized by insufficient, inconsistent IoT connectivity and heterogeneous parameter naming. Furthermore, the data is only available in unstructured form. In the following, a new approach for standardizing information models from existing plants with machine learning methods is described and an offline-online pattern recognition system for enabling anomaly detection under varying machine conditions is introduced. The system can enable the local calculation of signal thresholds that allow more granular anomaly detection than using only single indexing and aims to improve the detection of anomalous machine behaviour especially in finish machining.
Źródło:: Journal of Machine Engineering; 2021, 21, 1; 98-108
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 17.

Tytuł:: Prioritization approach for circuit breakers to equip with condition monitoring devices
Autorzy:: Karimabadi, Ali
Hajiabadi, Mohammad Ebrahim
Kamyab, Ebadollah
Powiązania:: https://bibliotekanauki.pl/articles/140753.pdf
Data publikacji:: 2020
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: circuit breakers
condition monitoring
outage rate
reliability
smart sensor
Opis:: Circuit Breakers (CBs) play an important role in ensuring the safe operation of protection systems. Condition Monitoring (CM) devices are widely implemented to extend lifetime, and to improve the maintenance quality. The present paper proposes a cost-based prioritization approach for CBs in a network equipped with CM devices. To this end, a mathematical formulation is developed for the categorization and modeling of equipment failures based on their severity. This formulation quantifies the effect of the CM devices on the outage rate of the equipment. The reliability parameters of the substations 400/132/20 KV, including the failure rate, λ, average repair time, r, average outage time, U, substations, in two status of without CM and with CM of the CBs are calculated. These parameters are calculated implementing a minimal cut-set method. The outage rate of equipment with and without the CM devices is used to determine the effect of the CM devices on the reliability of the network. Finally, the prioritization of substations to install the CM devices on the CBs has been investigated in terms of the Expected Energy Not Supplied (EENS) and costs of CM. To verify the effectiveness and applicability of the method, the proposed approach is applied to the CBs in the power transmission network in the Khorasan Regional Electricity Company (KREC) in Iran.
Źródło:: Archives of Electrical Engineering; 2020, 69, 2; 403-422
1427-4221
2300-2506
Pojawia się w:: Archives of Electrical Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 18.

Tytuł:: Intelligent cyber-physical monitoring and control of I4.0 machining systems – an overview and future perspectives
Autorzy:: Hassan, Mahmoud
Sadek, Ahmad
Attia, M. Helmi
Powiązania:: https://bibliotekanauki.pl/articles/2052195.pdf
Data publikacji:: 2022
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: machining process
artificial intelligence
modelling
optimisation
tool condition monitoring
Opis:: Rapid evolution in sensing, data analysis, and industrial internet of things technologies had enabled the manufacturing of advanced smart tooling. This has been fused with effective digital inter-connectivity and integrated process control intelligence to form the industry I4.0 platform. This keynote paper presents the recent advances in smart tooling and intelligent control techniques for machining processes. Self-powered wireless sensing nodes have been utilized for non-intrusive measurement of process-born phenomena near the cutting zone, as well as tool wear and tool failure, to increase confidence in the process and tool condition monitoring accuracy. Cyber-physical adaptive control approaches have been developed to optimize the cycle time and cost while eliminating machined part defects. Novel artificial intelligence AI-based signal processing and modeling approaches were developed to guarantee the generalization and practicality of these systems. The paper concludes with the outlook for future work needed for seamless implementation of these developments in industry.
Źródło:: Journal of Machine Engineering; 2022, 22, 1; 5-24
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 19.

Tytuł:: Multi symptom condition monitoring of a critical mechanical systems as a first approach to design condition inference agent (CIA)
Autorzy:: Cempel, C.
Powiązania:: https://bibliotekanauki.pl/articles/328728.pdf
Data publikacji:: 2004
Wydawca:: Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:: machine condition monitoring
vibration
faults
singular values
condition inference agent
Opis:: The paper presents the introductory results in application to multi fault condition monitoring of mechanical systems in operation, in particular internal combustion engines. This generalization to multi dimensionality and multi fault condition monitoring is possible by utilizing transformed symptom observation matrix, and by successive application of singular value decomposition (SVD) and based on it principal component analysis (PCA). On this basis one can make full ex-traction of fault related information taken from symptom observation matrix, which can be created by traditional monitoring technology. Moreover, by SVD/PCA we can create some independent fault measures and indices, and of overall system condition. In another words, full utilization of SVD/PCA enable us to pass from multi dimensional - non orthogonal symptom space, to or-thogonal generalized fault space, of much reduced dimension. This seems to be important, as it can increase the scope and the reliability of condition monitoring of critical system in operation. It enables also to maximize the amount of condition related information, and to redesign the tradi-tional condition monitoring system. At the end of the paper some introductory consideration are presented leading to a design of Condition Inference Agent (CIA), which will enable to infer in real time on condition of critical objects in operation.
Źródło:: Diagnostyka; 2004, 30, T. 1; 91-96
1641-6414
2449-5220
Pojawia się w:: Diagnostyka
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 20.

Tytuł:: Relation of process and condition monitoring at deep hole drilling
Autorzy:: Heisel, U.
Sabou, F.
Maier, D.
Powiązania:: https://bibliotekanauki.pl/articles/100005.pdf
Data publikacji:: 2012
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: process
condition monitoring
deep hole drilling
main spindle
Opis:: Process monitoring and condition monitoring are closely related. The basic structure of the tasks is the same. In some cases the may even use the same set of raw data. Monitoring of a process is also influenced by the machine's state. Therefore, the state has to be monitored also. In most cases wear causes a divergence of the intended from the actual state. The paper presents the principles of monitoring the condition of a main spindle as well as monitoring the process of deep hole drilling.
Źródło:: Journal of Machine Engineering; 2012, 12, 1; 99-110
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 21.

Tytuł:: Condition Monitoring of Rotating Machines: A Review
Autorzy:: Goyal, Deepam
Chaudhary, Anurag
Dang, Rajeev Kumar
Pabla, B. S.
Dhami, S. S.
Powiązania:: https://bibliotekanauki.pl/articles/1159447.pdf
Data publikacji:: 2018
Wydawca:: Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:: Condition monitoring
fault detection
motor current signature analysis
wireless monitoring
Opis:: An uninterrupted health monitoring of machine is essential in various applications where failure of machine leads to loss of quality control, productivity and safety against catastrophic failure. Condition monitoring of machine involves continuous assessment on the performance of rotating components i.e. bearings, gears and motors and anticipating the faults before it cause any adversity. Rotating machines are commonly used in the industry for different applications such as railways, pumps, conveyors, blowers, elevator, mining industry, etc. Condition monitoring of rotating machines has been an important task for technicians, engineers, and researchers mainly to enhance structural reliability in a real time. This paper presents an enlarged survey on the expansion and the recent approaches in the condition monitoring of rotating machines. In current scenario, condition monitoring has proved their ability for fault detection of incipient faults in mechanical machines and equipments. Several techniques such as vibration monitoring, acoustic emission monitoring, invasive monitoring, oil monitoring are available for determining the health of rotating machines but all these monitoring methods needs expensive transducers and sensors.
Źródło:: World Scientific News; 2018, 113; 98-108
2392-2192
Pojawia się w:: World Scientific News
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 22.

Tytuł:: A comparision of model and signal based condition monitoring and mode separation for predictive maintenance of feed drives
Autorzy:: Maier, D.
Heisel, U.
Powiązania:: https://bibliotekanauki.pl/articles/100055.pdf
Data publikacji:: 2011
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: mode separation
condition monitoring
ball screw drive
predictive maintenance
Opis:: Modern production strategies increase the demand for closer monitoring of the machine's condition. Especially wear affects its condition. This paper deals with the methodology of condition monitoring that can be based on different sources of data such as controller NC CNC and additional sensors. Two main methods for assessment are signal analysis based exclusively on measurement data and a model based method The latter is based on comparing the simulation of the objects behaviour with the acquired data. Ball screw drives are key elements of machine tools. They considerably contribute to the machine's performance. The paper compares two signal-based wear inducing characteristics and discusses the results. Afterwards a model-based approach is discussed.
Źródło:: Journal of Machine Engineering; 2011, 11, 4; 138-151
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 23.

Tytuł:: Characterization of band sawing based on cutting forces
Autorzy:: Thaler, T.
Bric, I.
Bric, R.
Potocnik, P.
Muzic, P.
Govekar, E.
Powiązania:: https://bibliotekanauki.pl/articles/99509.pdf
Data publikacji:: 2012
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: band sawing
cutting forces
condition monitoring
tool wear
chatter
Opis:: Band sawing is one of the most efficient methods for which in general it is known that uneven tool wear, chatter and cutting blade defects can affect cutting performance significantly. A data acquisition system was arranged on an industrial band saw machine in order to characterize the band sawing process based on measurements of forces. In this paper, the cutting force signals are analyzed in order to demonstrate important relations to workpiece and cutting blade properties. It is shown that cutting forces contain information about in homogeneity of a cut workpiece. Signals of cutting forces also reveal important properties of blade geometry that is related to uneven blade wear. Discontinuities such as blade welding are clearly evident in force signals and it is shown that unevenness of blade backing geometry can cause a significant variation in forces due to wedging between the workpiece and a blade support. An original method for blade shape extraction from force signals is presented in detail. Paper also reports on chatter phenomena observed at specific cutting conditions. Possible solutions to the addressed problems and phenomena are discussed in the conclusion.
Źródło:: Journal of Machine Engineering; 2012, 12, 1; 41-54
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 24.

Tytuł:: Monitoring of the process of constitution of a putty coating on a vehicle body with the use of an ultrasonic method
Monitorowanie procesu konstytuowania połączenia powłoki szpachlówkowej z karoserią samochodu metodą ultradźwiękową
Autorzy:: Ulbrich, D.
Jósko, M.
Kowalczyk, J.
Powiązania:: https://bibliotekanauki.pl/articles/328241.pdf
Data publikacji:: 2014
Wydawca:: Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:: ultrasound
condition monitoring
coating
adhesion
ultradźwięki
diagnostyka
powłoka
adhezja
Opis:: Bonds between surfaces and coatings are widely used in the construction of machines and vehicles. Therefore, it is important to prepare a non-destructive method that will allow monitoring of the process of production of elements containing such bonds. The paper contains a description of the testing procedure, materials and devices used for the realization of the experiment. As a result of the experiment, changes in the longitudinal wave reflection coefficient for three areas of bonding were determined, each of which had the surface prepared in a different way. It has been found that the ultrasonic method utilizing a longitudinal wave allows monitoring of the process of constitution of the bond between the putty coating and the body surface and enables to determine the curing time of adhesive connection and allows detecting defective adhesive bonds and eliminating them in the stage of production.
Połączenia powłoki z podłożem są powszechnie stosowane w budowie maszyn i pojazdów. W związku z tym, ważne jest, aby opracować nieniszczącą metodę, która pozwoli na monitorowanie procesu wytwarzania elementów zawierających takie połączenia. Artykuł zawiera opis procedur, materiałów i urządzeń wykorzystywanych do realizacji eksperymentu. W wyniku zrealizowanych badań, wyznaczono zmiany modułu ciśnieniowego współczynnika odbicia fali podłużnej dla trzech obszarów nakładania powłoki, z których powierzchnie przygotowano w różny sposób. Stwierdzono, że ultradźwiękowa fala podłużna pozwala na monitorowanie procesu konstytuowania połączenia pomiędzy warstwą szpachlówki i karoserią pojazdu oraz pozwala na określenie czasu utwardzania i wiązania powłoki z podłożem, a także umożliwia wykrywania wadliwych połączeń adhezyjnych i ich eliminacje w fazie produkcji.
Źródło:: Diagnostyka; 2014, 15, 4; 9-13
1641-6414
2449-5220
Pojawia się w:: Diagnostyka
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 25.

Tytuł:: Comparison of advanced signal-processing methods for roller bearing faults detection
Autorzy:: Urbanek, J.
Barszcz, T.
Uhl, T.
Powiązania:: https://bibliotekanauki.pl/articles/221168.pdf
Data publikacji:: 2012
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: fault detection
condition monitoring
rolling element bearing
wind turbine
Opis:: Wind turbines are nowadays one of the most promising energy sources. Every year, the amount of energy produced from the wind grows steadily. Investors demand turbine manufacturers to produce bigger, more efficient and robust units. These requirements resulted in fast development of condition-monitoring methods. However, significant sizes and varying operational conditions can make diagnostics of the wind turbines very challenging. The paper shows the case study of a wind turbine that had suffered a serious rolling element bearing (REB) fault. The authors compare several methods for early detection of symptoms of the failure. The paper compares standard methods based on spectral analysis and a number of novel methods based on narrowband envelope analysis, kurtosis and cyclostationarity approach. The very important problem of proper configuration of the methods is addressed as well. It is well known that every method requires setting of several parameters. In the industrial practice, configuration should be as standard and simple as possible. The paper discusses configuration parameters of investigated methods and their sensitivity to configuration uncertainties.
Źródło:: Metrology and Measurement Systems; 2012, 19, 4; 715-726
0860-8229
Pojawia się w:: Metrology and Measurement Systems
Dostawca treści:: Biblioteka Nauki

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