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The fault monitoring and simulation research of large generator

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1 Author(s)
Wang Minzhen ; Comput. Center, Changchun Inst. of Technol., Changchun, China

In this paper, a fault detection technology to large generating units was investigated. It proposed a fault diagnosis approach for large generator based on information fusion technology. This method monitors fault for large generating units by multi-sensor, realizes feature extraction of fault and obtains independent evidence with each other, so as to achieve the accurate diagnosis to the fault of large generating units. The simulation results indicated that using fault diagnosis approach based on information fusion effectively improved the diagnostic accurate of the fault of large generating units, and increased the confidence of the results of fault diagnosis.

Published in:

Electrical & Electronics Engineering (EEESYM), 2012 IEEE Symposium on

Date of Conference:

24-27 June 2012