Korbicz, Józef - ed. ; Sauter, Dominique - ed.
With the tools of modern metrology we can measure almost all variables in the phenomenon field of a working machine, and many of the measured quantities can be symptoms of machine conditions. On this basis, we can form a symptom observation matrix (SOM) intended for condition monitoring and wear trend (fault) identification. On the other hand, we know that contemporary complex machines may have many modes of failure, called faults. ; The paper presents a method of the extraction of the information about faults from the symptom observation matrix by means of singular value decomposition (SVD), in the form of generalized fault symptoms. As the readings of the symptoms can be unstable, the moving average of the SOM is applied with success. An attempt to assess the diagnostic contribution of a primary symptom is made, and also an approach to assess the symptom limit value and to connect the SVD methodology with neural nets is considered. ; Finally, a condition forecasting problem is discussed and an application of grey system theory (GST) to symptom prognosis is presented. These possibilities are illustrated by processing data taken directly from the machine vibration condition monitoring area.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 18, number 4 (2008) ; kliknij tutaj, żeby przejść
Biblioteka Uniwersytetu Zielonogórskiego
2024-04-08
2024-04-08
15
https://zbc.uz.zgora.pl/repozytorium/publication/88515
Nazwa wydania | Data |
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Decomposition of the symptom observation matrix and grey forecasting in vibration condition monitoring of machines | 2024-04-08 |
Moldovan, Andreea Bot, Radu Ioan Wanka, Gert Beliczyński, Bartłomiej - red.
Aswani Kumar, Cherukuri Srinivas, Suripeddi Korbicz, Józef - red. Uciński, Dariusz - red.
Simek, Krzysztof Kimmel, Marek - red. Lachowicz, Mirosław - red. Świerniak, Andrzej - red.
Gao, Jian-Qiang Fan, Li-Ya Li, Li Xu, Li-Zhong Korbicz, Józef - red. Uciński, Dariusz - red.
Cempel, Czesław Korbicz, Józef - red. Cempel, Czesław - red.
Savita Sahrawat, Ravinder Kumar Malik, Meenal Jurczak, Paweł - red.
Siwek, Krzysztof Osowski, Stanisław Szupiluk, Ryszard Korbicz, Józef - ed.