Application of wavelet denoising on rolling bearing fault diagnosis

Rolling element bearing vibration signal is vulnerable to random noise pollution,how to denoising becomes one of the key issues about rolling element bearing fault diagnosis.The traditional denoising methods may treated the useful signals which have small energy as noise,and eliminated it.Then this paper expressed the wavelet denoising method,and used simulation signal and measured rolling element bearing vibration signals to prove the new methods and traditional methods,and compared two results.The comparative experiment results showed that,in the area of denoising,the wavelet denoising improved the signal noise ratio perfectly and provided a reliable basis of fault diagnosis decision-making.