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