Roller bearing fault diagnosis based on local mean decomposition and morphological fractal dimension
Yu Yang · Zhendong yu chongji · 2013
The vibration signals of roller bearings usually appear with the specialities of nonlinearity and low signal to noise ratio.In view of this problem,a roller bearing fault diagnosis method based on local mean decomposition(LMD) and morphological fractal dimension was proposed.In the method,the roller bearing vibration signal was decomposed into a set of product functions(PFs) by LMD,and then the morphological fractal dimension of PF which contain the roller bearing fault characteristics was calculated,and adopted as a characteristic parameter to judge the roller bearing working conditions and fault types.The experimental results indicate that the method can be applied to the roller bearing fault diagnosis effectively.