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2008年 第2卷 第2期

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《能源前沿（英文）》 >> 2008年 第2卷 第2期 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;

发布日期： 2008-06-05
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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.

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