DocumentCode :
2849858
Title :
The fault monitoring and simulation research of large generator
Author :
Minzhen, Wang
Author_Institution :
Comput. Center, Changchun Inst. of Technol., Changchun, China
fYear :
2012
fDate :
24-27 June 2012
Firstpage :
48
Lastpage :
51
Abstract :
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.
Keywords :
electric generators; fault diagnosis; feature extraction; fault accurate diagnosis; fault detection technology; fault feature extraction; fault monitoring research; fault simulation research; information fusion; large generating units; large generator; multisensor; Reliability; Uncertainty; digital filtering; fault monitoring; information fusion; parameter identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical & Electronics Engineering (EEESYM), 2012 IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-2363-5
Type :
conf
DOI :
10.1109/EEESym.2012.6258584
Filename :
6258584
Link To Document :
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