A Diagnosis Method Based on Wavelet Coefficient Scale Relativity Correlation Dimension for Fault

This paper introduces correlation dimension as a tool to describing machinery condition. A threshold filtering algorithm based on the region relativity of the wavelet coefficients for reducing noise is introduced. Utilizing the above method, the vibration signals of the fan under different working conditions are analyzed. The result shows that the characteristics of the signal could be preserved completely. The correlation dimension is able to identify the 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.