A Fault feature Extracting Method Based on Moment Invariants of Local Wave Time-frequency Image
Lin Tian · Modular Machine Tool & Automatic Manufacturing Technique · 2006
The feature extracting is an important,difficult step in the fault diagnosis processing.The fault signals always showed the characteristic of non-stationary. The analysis methods based on FFT can not get correct results for this signals. Here,we adopt a new time-frequency methods——local wave method,to analysis the fault vibration signals.Because the Local wave T-F spectrum can be showed in the gray image,so we use the moment invariants of time-frequency image as the fault features.The experiments show that this method is feasible.