Frontiers in Energy
>> 2008,
Volume 2,
Issue 2
doi:
10.1007/s11708-008-0031-4
Diagnosis method based on wavelet coefficient
scale relativity correlation dimension for fault
Education Ministry Key Laboratory on Condition Monitoring and Control for Power Plant Equipment, North China Electric Power University;
Available online: 2008-06-05
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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.