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Wyszukujesz frazę "monitoring data" wg kryterium: Temat


Wyświetlanie 1-4 z 4
Tytuł:
Data interoperability for reconfigurable manufacturing process monitoring systems
Autorzy:
Morgan, J.
O'Driscoll, J.
O'Donell, G. E.
Powiązania:
https://bibliotekanauki.pl/articles/99743.pdf
Data publikacji:
2013
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
agent based design
process monitoring
data interoperability
Opis:
The ability for manufacturing organisation to be responsive to changing market conditions is imperative for sustainable market competitiveness, and enabling self preservation. Responsive behaviour requires the incorporation of not only robust sustainable manufacturing process chains, but the functional capacity to facilitate reconfiguration and adaption. Manufacturing process chains require process monitoring and condition based monitoring systems to achieve high accuracy manufacturing systems, sustainable production capability, and resource efficiency. The focus of this research is aimed at developing a novel data interoperability architecture to enable the creation of reconfigurable process monitoring systems. To achieve reconfigurable process monitoring capability an information communication paradigm known as agent based design is reviewed, and an emerging agent based standard known as MTConnect is also reviewed. Through this research a novel data interoperability system is developed and defined to enable dynamic data acquisition for reconfigurable process monitoring. A case study is carried out to demonstrate the validity of the architecture to achieve multi data stream unification. This case study demonstrates the ability to actively condition monitor a HURCO VM2 three axis CNC machine dynamically, through the measurement of machine energy requirements and vibration, which are examples of process variables associated with condition based machine monitoring.
Źródło:
Journal of Machine Engineering; 2013, 13, 1; 64-79
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Drive data acquisition for controller internal monitoring functions
Autorzy:
Hellmich, A.
Quellmalz, J.
Schoeberlein, C.
Schlegel, H.
Putz, M.
Powiązania:
https://bibliotekanauki.pl/articles/99446.pdf
Data publikacji:
2016
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
computerized numerical controller
drive data
identification
monitoring
Opis:
With the current trend of increasing automation, leading to self-organizing machine tools and production machines (“Industry 4.0”), data acquisition and processing becomes more and more important. Based on these data, new monitoring functions and identification methods can be implemented in the machine control. Depending on the algorithms, also drive internal data, such as the actual torque, or the power consumption of the machine axes are required, partially at high sample rates. State of the art computerized numerical controllers (e.g. SIEMENS 840D sl) however, are characterized by a separation of drive system and controller. Drive data, which is not included in the standard bus-connection are difficult to access by the superordinated CNC. The paper addresses this problem, presents and compares various concepts of drive data transfer to a standard industrial CNC/PLC. Subsequently, the most convenient method, which utilizes a drive-internal data recorder is chosen for implementation. It offers flexible drive data acquisition through the PLC at high sample rates, carried out block wise. Experimental results are shown to prove the functionality. Finally, ideas for continuative monitoring and identification methods are discussed.
Źródło:
Journal of Machine Engineering; 2016, 16, 4; 82-94
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
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
Artykuł
Tytuł:
Smart wireless sensor network and configuration of algorithms for condition monitoring applications
Autorzy:
Uhlmann, E.
Laghmouchi, A.
Geisert, C.
Hohwieler, E.
Powiązania:
https://bibliotekanauki.pl/articles/99644.pdf
Data publikacji:
2017
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
condition monitoring
data analysis
sensor network
algorithm
MEMS sensor
cloud
Opis:
Due to high demand on availability of production systems, condition monitoring is increasingly important. In recent years, the technical development have improved for realization of condition monitoring applications as a result of technological progress in fields such as sensor technology, computer performance and communication technology. Especially, the approaches of Industrie 4.0 and the use of the Internet of Things (IoT) technologies offer high potential to implement condition monitoring solutions. The connection of several sensor data of components to the cloud allows the identification of anomalies or defect pattern, this information can be used for predictive maintenance and new data-driven business models in production industry. This paper illustrates a concept of a smart wireless sensor network for condition monitoring application based on simple electronic components such as the single-board computer Raspberry Pi 2 modules and MEMS (Micro-Electro-Mechanical Systems) vibration sensors and communication standards MQTT (Message Queue Telemetry Transport). The communication architecture used for decentralized data analysis using machine learning algorithms and connection to the cloud is explained. Furthermore, a procedure for rapid configuration of condition monitoring algorithms to classify the current condition of the component is demonstrated.
Źródło:
Journal of Machine Engineering; 2017, 17, 2; 45-55
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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