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Frontiers in Energy

ISSN 2095-1701

ISSN 2095-1698(Online)

CN 11-6017/TK

Postal Subscription Code 80-972

2018 Impact Factor: 1.701

Front. Energy    2008, Vol. 2 Issue (2) : 164-168    https://doi.org/10.1007/s11708-008-0031-4
Diagnosis method based on wavelet coefficient scale relativity correlation dimension for fault
GU Junjie, TIAN Jin, PENG Xuezhi
Education Ministry Key Laboratory on Condition Monitoring and Control for Power Plant Equipment, North China Electric Power University;
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Abstract Correlation dimension as a tool to describe machinery condition is introduced. Vibration signals of the fan under different working conditions are analyzed using a threshold filtering algorithm based on the region relativity of the wavelet coefficients for reducing noise. The result shows that the characteristics of the signal could be preserved completely. The correlation dimension is able to identify conditions of the fan with faults compared with the normal condition, thereby providing an effective technology for condition monitoring and fault diagnosis of mechanical equipment.
Issue Date: 05 June 2008
 Cite this article:   
GU Junjie,TIAN Jin,PENG Xuezhi. Diagnosis method based on wavelet coefficient scale relativity correlation dimension for fault[J]. Front. Energy, 2008, 2(2): 164-168.
 URL:  
https://academic.hep.com.cn/fie/EN/10.1007/s11708-008-0031-4
https://academic.hep.com.cn/fie/EN/Y2008/V2/I2/164
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