Bradatsch, Thomson ; Gühmann, Clemens ; Röpke, Karsten ; Schneider, Cristian ; Filbert, Dieter
Korbicz, Józef (1951- ) - red. ; Cempel, Czesław - red.
Analytical and Knowledge-Based Redundancy in Fault Detection and Diagnosis
This paper deals with two different diagnostic methods for electric motors. The diagnosis can either be used for quality control or on-line monitoring. The most important requirements are a fast and reliable detection and isolation of failures (FDI) of the whole motor. Furthermore, the measurements should be simple to make. ; These requirements cannot be fulfilled with conventional test systems, but with analytical redundancy methods based on signal and system theory. Two different model based techniques are presented: parameter estimation and a fault sensitive filter bank technique. Finally, evaluations of measurements are given.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 3, number 3 (1993) ; click here to follow the link
Biblioteka Uniwersytetu Zielonogórskiego
Nov 5, 2024
Jul 7, 2020
118
https://zbc.uz.zgora.pl/publication/63839
Edition name | Date |
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Analytical redundancy methods for diagnosing electric motors | Nov 5, 2024 |
Beliczyński, Bartłomiej - red.
Krasoń, Ewa Kaczorek, Tadeusz - ed.
Trzaska, Zdzisław W. Kaczorek, Tadeusz - ed.
Xu, Li Saito, Osami Abe, Kenichi Kaczorek, Tadeusz - ed.
Young, K. David Yu, Xinghuo - red.
Xu, Jian-Xin Song, Yanbin Yu, Xinghuo - red.
Stotsky, Alexander A. Hedrick, J. Karl Yip, P.P. Yu, Xinghuo - red.
Hara, Masaaki Furuta, Katsuhisa Pan, Yaodong Hoshino, Tasuku Yu, Xinghuo - red.