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Rotor fault diagnosis based on fusion estimation of multi-circuit model of induction motor

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4 Author(s)
Feng Lu ; Dept. of Electron, Hebei Normal Univ., Shijiazhuang, China ; Hai-Lian Du ; Zhe-Jun Diao ; Xi-Yuan Ju

The breaking of rotor-bar is the common fault of squirrel cage induction motor (SCIM). According to multi-sensor data fusion theory, a kind of rotor's fault detection system based on multi-sensor data fusion estimation of induction motor's model is provided, which makes use of strong tracking filter's tracking ability to the abrupt state. Through the computer's simulation, the system has strong identification ability and a high estimated accuracy to the parameter variation, and it can make a diagnosis quickly and in time when the fault occurs.

Published in:

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on  (Volume:4 )

Date of Conference:

26-29 Aug. 2004

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