DWT-Based Adaptive Filter and its Application on Canceling Noise in Mechanical Signals

A method for canceling noise in mechanical signals was presented, which was based on adaptive filtering and discrete wavelet transform Through multi-scale decomposition of wavelet transform, the isolated noise components was as the input signals of the adaptive filter. Through the simulated signal, it shows that the method can achieve noise reduction of non-stationary signals. The proposed approach for noise reduction has been successfully applied to fault diagnosis of bearing signals.