Bearing Vibration Signal Analysis Based on Chirplet Transform

A method based on the fast adaptive chirplet transform is presented for bearing vibration signal analysis. Based on parameters coarse estimation, it converts multi-dimension optimization process to a traditional curve-fitting problem. This method is not only free of cross-term interference, but also maintains good time-frequency resolution. In addition, as a result of fewer inner product calculations are conducted, the computational speed is fast and parameters estimation is more accurate. The experimental results show that the algorithm can efficiently extract the time-frequency characteristics of the fault signals, and the effect is better than other time-frequency methods. Therefore, it is an efficient fault diagnosis method.