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    Wyświetlanie 1-12 z 12
    Tytuł:
    Detection of wear parameters using existing sensors in the machines environment to reach higher machine precision
    Autorzy:
    Schmitt, R. R.
    Decressin, R.
    Dietrich, F.
    Dröder, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/99855.pdf
    Data publikacji:
    2018
    Wydawca:
    Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
    Tematy:
    predictive maintenance
    analysis
    precision
    predictive model
    Opis:
    This paper presents methods to plan predictive maintenance for precision assembly tasks. One of the key aspects of this approach is handling the abnormalities during the development phase, i.e. before and during process implementation. The goal is to identify abnormalities which are prone to failure and finding methods to monitor them. To achieve this, an example assembly system is presented. A Failure Mode and Effects Analysis is then applied to this assembly system to show which key elements influence the overall product quality. Methods to monitor these elements are presented. A unique aspect of this approach is exploring additional routines which can be incorporated in the process to identify machine specific problems. As explained within the paper, the Failure Mode and Effects Analysis shows that the resulting quality in a case study from a precision assembly task is dependent on the precision of the rotational axis. Although the rotational axis plays a significant role in the resulting error, it is hard to explicitly find a correlation between its degradation and produced parts. To overcome this, an additional routine is added to the production process, which directly collects information about the rotational axis. In addition to the overall concept, this routine is discussed and its ability to monitor the rotational axis is confirmed in the paper.
    Źródło:
    Journal of Machine Engineering; 2018, 18, 2; 85-96
    1895-7595
    2391-8071
    Pojawia się w:
    Journal of Machine Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Production Optimization by Cognitive Technologies
    Autorzy:
    Schmitt, R.
    Wagels, C.
    Isermann, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/971238.pdf
    Data publikacji:
    2009
    Wydawca:
    Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
    Tematy:
    cognitive tolerance matching
    self-optimization
    SOAR
    cognition
    intelligent production systems
    Opis:
    Today, value chains are considered fractionally and on the basis of simplified model assumptions. Interactions between processes, materials, means of production and individuals acting in this environment as well as the effect of changes on the product usually are not known exhaustively. In order to take corrective actions towards these deficits, self-optimizing production system technologies can be used. They provide systems that emulate the "human" ability of reaching a decision with technical architectures. The goal of these approaches is to steadily analyze and evaluate the actual status in technological as well as in organisational areas and conduct a system adaptation to alternating objectives. Central questioning in this field of research is how to survey production data in order to detect correlations of production parameters and their influence on product parameters, how to derive decisions from this knowledge and how to learn from the consequences. Application technologies capable of taking on these tasks of self-optimization to emulate intelligent behaviour are analysed. The aim is to identify the competencies of these technologies, in order to build a cognitive system architecture based on applications especially suited for each task that has to be fulfilled to emulate cognitive human decision making processes.
    Źródło:
    Journal of Machine Engineering; 2009, 9, 1; 78-90
    1895-7595
    2391-8071
    Pojawia się w:
    Journal of Machine Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Cognitive failure cluster enhancing the efficiency and the precision of the self-optimizing process model for bevel gear contact patterns
    Autorzy:
    Schmitt, R.
    Niggemann, C.
    Laass, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/100025.pdf
    Data publikacji:
    2012
    Wydawca:
    Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
    Tematy:
    cognition
    classification
    self-optimization
    gear testing
    contact pattern
    Opis:
    The contact patterns of bevel gear sets are an important indicator for the acoustic quality of rear axle drives. The contact patterns are the result of complex interactions in the production process. This is due to many process steps, numerous influencing factors and interdependencies. In general, their effect on product variations is not fully comprehended. This impedes the design and control of the production process based on a holistic analytical model for new variants fulfilling the acoustic requirements. The approach with self-optimization is possible but can take a long time for the training of the artificial neural networks and the necessary iterations until a satisfying precision for the predicted process parameters is achieved. Also it can occur that the algorithm is not converging and therefore no satisfactory result is turned out at all. In this paper an approach is presented combining the flexibility of self-optimizing systems with the higher precision of delimited solution finders called the Cognitive Failure Cluster (CFC). The improvements provided by the clustering of the optimization program are evaluated regarding the training time and the precision of the result for a production lot of bevel gear sets.
    Źródło:
    Journal of Machine Engineering; 2012, 12, 1; 55-65
    1895-7595
    2391-8071
    Pojawia się w:
    Journal of Machine Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Cognitive Optimization of an Automotive Rear-Axle Drive Production Process
    Autorzy:
    Schmitt, R.
    Isermann, M.
    Wagels, C.
    Matuschek, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/971254.pdf
    Data publikacji:
    2009
    Wydawca:
    Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
    Tematy:
    cognitive tolerance
    self-optimization
    rear-axle-drive
    Opis:
    While optimizing tolerances in tolerance chains only single characteristics or objectives of single process steps are considered, there is no information exchange across all processes. Interdependencies between processes, materials, means of production and individuals acting in this environment as well as their effect on product variations are usually not fully understood. In order to face a dynamisation of process specification, interdependencies have to be identified and integrated in future production. The holistic consideration of the process chain focused on the allocation of tolerances allows detection of correlations and interdependencies in the production process itself. By this, process chain information is traced back to conduct the right optimizations at the right place in the process chain. But therefore intelligent controlling mechanisms are needed to analyze and optimize even complex production systems with multi-level interdependencies. Such a cognitive system is able to form the core of self-optimizing production system. Using this cognitive system, the production process of an automotive rear-axle drive is optimized in order to minimize disturbances created by structure-borne sound emissions. Therefore several cognitive technologies have been evaluated to fulfil specific tasks in process optimization.
    Źródło:
    Journal of Machine Engineering; 2009, 9, 4; 71-80
    1895-7595
    2391-8071
    Pojawia się w:
    Journal of Machine Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Examples for the Industrial Use of Synchrotron Radiation
    Autorzy:
    Hormes, J.
    Chauvistré, R.
    Schmitt, W.
    Pantelouris, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/1920823.pdf
    Data publikacji:
    1992-07
    Wydawca:
    Polska Akademia Nauk. Instytut Fizyki PAN
    Tematy:
    07.85.+n
    29.20.-c
    32.30.Rj
    78.70.Dm
    Opis:
    Synchrotron radiation has become a valuable tool for many fields of basic research. Several of the methods which were here developed are also suitable for solving industrial problems. Perhaps the most promising ones are the various X-ray techniques, e.g. X-ray absorption spectroscopy (EXAFS and XANES) and X-ray fluorescence. In the following article the theoretical and experimental basis for these techniques is shortly introduced and some instructive examples for such applications for actual industrial problems are dicussed. In the last section, X-ray lithography for the production of microstructures is presented as an example where synchrotron radiation is already today used for industrial production.
    Źródło:
    Acta Physica Polonica A; 1992, 82, 1; 37-50
    0587-4246
    1898-794X
    Pojawia się w:
    Acta Physica Polonica A
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Automated root cause analysis of non-conformities with machine learning algorithms
    Autorzy:
    Mueller, T.
    Greipel, J.
    Weber, T.
    Schmitt, R. H.
    Powiązania:
    https://bibliotekanauki.pl/articles/99625.pdf
    Data publikacji:
    2018
    Wydawca:
    Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
    Tematy:
    root cause analysis
    machine learning
    decision tree
    simulation
    Opis:
    To detect root causes of non-conforming parts - parts outside the tolerance limits - in production processes a high level of expert knowledge is necessary. This results in high costs and a low flexibility in the choice of personnel to perform analyses. In modern production a vast amount of process data is available and machine learning algorithms exist which model processes empirically. Aim of this paper is to introduce a procedure for an automated root cause analysis based on machine learning algorithms to reduce the costs and the necessary expert knowledge. Therefore, a decision tree algorithm is chosen. A procedure for its application in an automated root cause analysis is presented and simulations to prove its applicability are conducted. In this paper influences affecting the success of detection are identified and simulated e.g. the necessary amount of data dependent on the amount of variables, the ratio between categories of non-conformities and OK parts as well as detectable root causes. The simulations are based on a regression model to determine the roughness of drilling holes. They prove the applicability of machine learning algorithms for an automated root cause analysis and indicate which influences have to be considered in real scenarios.
    Źródło:
    Journal of Machine Engineering; 2018, 18, 4; 60-72
    1895-7595
    2391-8071
    Pojawia się w:
    Journal of Machine Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Enhancing laser step diagonal measurement by multiple sensors for fast machine tool calibration
    Autorzy:
    Dahlem, P.
    Montavon, B.
    Peterek, M.
    Schmitt, R. H.
    Powiązania:
    https://bibliotekanauki.pl/articles/99640.pdf
    Data publikacji:
    2018
    Wydawca:
    Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
    Tematy:
    machine tool calibration
    step diagonal measurement
    integrated calibration system
    Opis:
    The volumetric performance of machine tools is limited by the remaining relative deviation between desired and real tool tip position. Being able to predict this deviation at any given functional point enables methods for compensation or counteraction and hence reduce errors in manufacturing and uncertainties for on-machine measurement tasks. Time-efficient identification and quanitification of different contributions to the resulting deviation play a key role in this strategy. The authors pursue the development of an optical sensor system for step diagonal measurement methods, which can be integrated into the working volume of the machine due to its compact size, enabling fast measurements of the axes’ motion error including roll, pitch and yaw and squareness errors without significantly interrupting the manufacturing process. The use of a frequency-modulating interferometer and photosensitive arrays in combination with a Gaussian laser beam allow for measurements at comparable accuracy, lower cost and smaller dimensions compared to state-of-the-art optical measuring appliances for offline machine tool calibration. For validation of the method a virtual machine setup and raytracing simulation is used which enables the investigation of systematic errors like sensor hardware misalignment.
    Źródło:
    Journal of Machine Engineering; 2018, 18, 2; 64-73
    1895-7595
    2391-8071
    Pojawia się w:
    Journal of Machine Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Identification and characterisation of Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) juvenile and adult wood grown in Southern Germany
    Autorzy:
    Blohm, J.-H.
    Evans, R.
    Koch, G.
    Schmitt, U.
    Powiązania:
    https://bibliotekanauki.pl/articles/52463.pdf
    Data publikacji:
    2016
    Wydawca:
    Sieć Badawcza Łukasiewicz - Instytut Technologii Drewna
    Źródło:
    Drewno. Prace Naukowe. Doniesienia. Komunikaty; 2016, 59, 197
    1644-3985
    Pojawia się w:
    Drewno. Prace Naukowe. Doniesienia. Komunikaty
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    New Miocene sulid birds from Peru and considerations on their Neogene fossil record in the Eastern Pacific Ocean
    Autorzy:
    Stucchi, M.
    Varas-Malca, R.M.
    Urbina-Schmitt, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/22965.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Instytut Paleobiologii PAN
    Tematy:
    Miocene
    sulid bird
    bird
    Sulidae
    Aves
    Pelecaniformes
    Sula
    Ramphastosula
    sea bird
    evolution
    Peru
    Neogene
    fossil record
    Pacific Ocean
    Opis:
    Boobies and gannets (family Sulidae) are the most specialized plunge divers among seabirds. Their fossil record along the Pacific coast of South America extends to the early Middle Miocene. Here we describe three new species of sulids: Sula brandi sp. nov., Sula figueroae sp. nov., and Ramphastosula aguirrei sp. nov., from the early Late Miocene of the Pisco Formation (Peru). Two of them are relatives of the living genus Sula, which represents medium and large-sized boobies. A new species of the extinct genus Ramphastosula is also described, adding to the discussion of possible alternative feeding strategies among sulids. The fossil record suggests that sympatric sulids exhibit different body sizes at least since the Oligocene epoch, a strategy related with resource partitioning. Furthermore, we find current analysis and knowledge of the fossil record unsuitable to evaluate properly seabird diversity changes through time.
    Źródło:
    Acta Palaeontologica Polonica; 2016, 61, 2
    0567-7920
    Pojawia się w:
    Acta Palaeontologica Polonica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Cognition-based self-optimisation of an automotive rear-axle-drive production process
    Autorzy:
    Schmitt, R.
    Niggemann, C.
    Isermann, M.
    Laass, M.
    Matuschek, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/99553.pdf
    Data publikacji:
    2010
    Wydawca:
    Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
    Tematy:
    Agent-Based Systems
    cognition based
    self-optimization
    rear-axle-drive
    Opis:
    The production of automotive rear-axle drives is a complex process. This is due to many involved process steps, factors and interdependencies between processes, materials, means of production and individuals acting in this environment. In general their effect on product variations is not fully comprehended. Hence, a holistic analytical model is only possible in parts of the production. In this paper a modular approach is presented to make the production more flexible and enable it to react faster on product variations. This is achieved by a Cognitive Production System (CPS), which is based on accumulating, storing and processing of process knowledge so that it can be applied to similar cases. Through the combination and interaction of Cognitive Tolerance Matching (CTM) and Agent-based Systems the performance of the CPS is enhanced. The work discusses the set-up of such a CPS for the production of automotive rear-axle-drives with the focus on the failure state agent.
    Źródło:
    Journal of Machine Engineering; 2010, 10, 3; 68-77
    1895-7595
    2391-8071
    Pojawia się w:
    Journal of Machine Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Smart services for enhancing personal competence in Industrie 4.0 digital factory
    Usługi typu smart służące zwiększeniu kompetencji personalnych w zakładzie przemysłowym typu Industrie 4.0
    Autorzy:
    Sun, J.
    Gao, M.
    Wang, Q.
    Jiang, M.
    Zhang, X.
    Schmitt, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/362246.pdf
    Data publikacji:
    2018
    Wydawca:
    Wyższa Szkoła Logistyki
    Tematy:
    Industrie 4.0
    industrial Internet-of-Things
    indoor localization
    smart wearables
    augmented reality
    enhancement of productivity
    przemysłowy Internet rzeczy
    lokalizacja wewnętrzna
    nośniki smart
    rozszerzona rzeczywistość
    poprawa produktywności
    Opis:
    Background: Adaptive digitalization and networking of machines, working parts, employees and other entities on the plant floor are core of realizing industry 4.0, so that information and instruction will be available everywhere and all the time in the production process. Thus, smart devices, especially smart wearables, will play a very important role to help workers being integrated in the in the future manufacturing environment, as information need to be transferred faster and with the right level of detailing with respect to the individual need of workers, factory managers etc. Methods: The implementation of an indoor localization system using Bluetooth beacons in the shop floor as part of an enterprise IoT platform was introduced. This sensor network is aimed to implement tracing and tracking of workers and working parts in the future smart factory, as well as the to the networking of the smart wearables with existing manufacturing machines. The investigated problem was the inaccuracy and the instability of the sensor signals by such Bluetooth sensor networks. To solve the problem, various algorithms were investigated. Results and conclusions: The possible solution of given problem was solved by finding an algorithm improving the communication between devices. Together with the location information from Beacon network and orientation information from the compass sensor, it is able to determine the machine in the near, which the employee with the Smart Glasses is currently pointing to.
    Wstęp: Zastosowanie sieciowych rozwiązań dla urządzeń i ich części, jak również jako wspomożenie dla pracowników na poziomie hali produkcyjnej jest podstawowym elementem wdrożenia Industry 4.0., dzięki czemu w każdym momencie i w każdym miejsce zapewnia się dostępność do potrzebnej informacji. W związku z tym, urządzenia mobilne typu smart będą odgrywały ważną rolę w integrowaniu pracowników w środowisko produkcyjne w przyszłości, informacja będzie mogła być przekazywana szybciej i z większą szczegółowością w odniesieniu do poszczególnych pracowników czy kadry zarządzającej. Metody: Zastosowanie wewnętrznej lokalizacji przy użyciu Bluetooth beaconów na poziomie hali produkcyjnej jako fragmentu zakładowej platformy Internetu rzeczy zostało wdrożone. Sieć sensorów ma na celu śledzenie pracowników oraz urządzeń w przyszłościowym zakładzie produkcyjnym, jak również ma być połączeniem z istniejącym parkiem urządzeń produkcyjnych. Badany problem polegał na nietrafności i niestabilności sygnałów sensorów używanych w tej sieci. W celu rozwiązania problemu poddano analizie różne algorytmy możliwych rozwiązań. Wyniki i wnioski: Znaleziono możliwe rozwiązanie analizowanego problem poprzez określenie odpowiedniego algorytmu poprawiającego komunikację pomiędzy urządzeniami. W połączeniu z lokalizacją informacji przy zastosowania sieci beaconów oraz zorientowaniu informacji pochodzących z sensorów, można było zlokalizować urządzenie znajdujące się w pobliżu danego pracownika przy użyciu okularów Smart Glasses.
    Źródło:
    LogForum; 2018, 14, 1; 51-57
    1734-459X
    Pojawia się w:
    LogForum
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Specific Heat and Magnetic Structure of GdT$\text{}_{2}$X$\text{}_{2}$ Compounds (T = Cu, Ni, X = Sn, Sb)
    Autorzy:
    Kaczmarska, K.
    Pierre, J.
    Schmitt, D.
    Lambert-Andron, B.
    Belllisent, R.
    Guzik, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/1964649.pdf
    Data publikacji:
    1997-08
    Wydawca:
    Polska Akademia Nauk. Instytut Fizyki PAN
    Tematy:
    75.25.+z
    75.40.-s
    75.50.Ee
    Opis:
    The magnetic specific heat of GdNi$\text{}_{2}$Sn$\text{}_{2}$, GdNi$\text{}_{2}$Sb$\text{}_{2}$ and GdCu$\text{}_{2}$Sb$\text{}_{2}$ shows a λ-type anomaly at T$\text{}_{N}$ with a noticeable reduction of the discontinuity compared to that expected for a simple antiferromagnet. It can be associated with the existence of amplitude modulated magnetic structure just below T$\text{}_{N}$. Above T$\text{}_{N}$ a weak magnetic contribution is observed, evidencing the short-range ordering. From neutron diffraction studies it can be also concluded that investigated compounds have not simple antiferromagnetic structures. For GdNi$\text{}_{2}$Sn$\text{}_{2}$ the propagation vector Q=(0.3,1/2,1/2) was found with the magnetic moments along the [1,0,0] axis.
    Źródło:
    Acta Physica Polonica A; 1997, 92, 2; 347-350
    0587-4246
    1898-794X
    Pojawia się w:
    Acta Physica Polonica A
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-12 z 12

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