抄録
Many researches have proven that the vibration signal of rolling element bearing can be considered as a kind of cyclostationary signal (CS) since its periodically time various characteristics especially when fault occurs. In this paper, the basic theories of second-order cyclostationary signal processing is introduced. Then, a method so called slice analysis based on spectrum correlation density function is proposed, and it is employed in fault feature extracting to the vibration signal of rolling element bearing. Simulation and application results demonstrate that the slice analysis method is available and effective in fault diagnosis of rolling element bearing.
