Research of fault diagnosis of rolling bearings based on EMD and power spectrum analysis method

According to the non-stationary and non-linear characteristic of rolling bearing vibration signal, an analysis method based on empirical mode decomposition and power spectrum is put forward. Firstly, the original vibration signals are decomposed into a finite number of stationary intrinsic mode functions (IMFs) by EMD(empirical mode decomposition). Then the IMFs relating to fault information are applied to power spectrum analysis. The result of the method is the power spectrum of relating IMFs, which can illustrate the characteristic of the signal clearly and extract the fault characteristic information easily. Since the EMD method is self-adaptive, it is applicable to non-linear and non-stationary signals. Applied example proves the effectiveness of the method.