DocumentCode :
3471936
Title :
Research on fault diagnosis method of thermal power generating units based on process
Author :
Chen, Fei ; Huang, Shuhong
Author_Institution :
Sch. of Energy & Power Eng., Huazhong Univ. of Sci. & Technol., Wuhan
fYear :
2008
fDate :
6-9 April 2008
Firstpage :
1407
Lastpage :
1411
Abstract :
At present, in the thermal power generating units, most fault diagnosis methods of rotating machinery rely on extracting eigenvalue from the vibration waveform. The vibration waveform signal is the representation of the condition. If the fault occurs, under certain condition, it is possible that the fault information is not revealed in the vibration waveform, or submerged by other information. Under such circumstance, the fault diagnosis method based on the randomly extractive information of condition can not well differentiate these faults. However, the fault, in any case, is accompanied by some symptoms. Under a condition, the vibration information of the fault may appear decentralized and random, but when the whole process is taken into consideration, the rules stand out. To describe the rule of changes in the vibration process, this paper proposes a new diagnosis method based on the process, with the information entropy (IE) matrix as its identification index.
Keywords :
eigenvalues and eigenfunctions; fault diagnosis; power generation faults; thermal power stations; fault diagnosis method; information entropy matrix; rotating machinery; thermal power generating units; vibration waveform; Data mining; Fault detection; Fault diagnosis; Information analysis; Information entropy; Information processing; Machinery; Military computing; Power generation; Vibration measurement; Fault diagnosis; information entropy; information fusion; process; rotating machinery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location :
Nanjuing
Print_ISBN :
978-7-900714-13-8
Electronic_ISBN :
978-7-900714-13-8
Type :
conf
DOI :
10.1109/DRPT.2008.4523626
Filename :
4523626
Link To Document :
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