Application of Adaptive Filtering Based on Harmonic Wavelet in the Dynamic Unbalance of Electro-Spindle

In order to adapt to high accuracy test requirement of dynamic balancing of Electric spindle. According to the harmonic wavelet phase locked, narrow-band analysis and the clear expression in time-domain, the method and algorithm of adaptive filtering based on harmonic wavelet was given. This method in accordance with the signal correlation, the dynamic unbalance signal was extracted by the relevant operation between harmonic wavelet and the vibration signal in time domain. The study of simulation and on-site dynamic balance test for electric spindle is done, the results show that: through adaptive filtering based on harmonic wavelet, the dynamic unbalance signal can be extracted accurately. This filtering method is simple and good in real-time, it can be adapted to the requirement of high-precision dynamic balancing measurement of spindle with rotating speed variation, and it has better applied value.