Abstract:In order to pick up the fault feature effectively, it is necessary to select a reasonable sensor position in the vibration measurement of defected rolling bearings, which is one of the main research goals in the 64257;eld of predictive maintenance. Due to the complicated structure of rolling bearings, the numerical simulation method will be utilized in the dynamic response analysis. Based on FEM model of 6307 rolling bearing, the kinetic feature and load distribution of each part can be obtained. As a result, the impulse function induced by different local defects will be formulated, which is then applied on the assembled model including the bearing chock. Considering the nonlinear contact characteristic simultaneously, the vibration response on each node in the whole structure can be obtained. In which, the difference in response waveform will be discussed thoroughly when the defect is located on different bearing parts. Furthermore, the vibration signal of rolling bearing with seeded fault will be picked up to validate the simulation results. On the condition that the FEM model is reliable, the transmission process of the vibration response in each part will be discussed, in which the emphasis will be focused on the propagation and attenuation characteristics when vibration wave pass the interface of the outer race and bearing chock. Based on above theoretical results, the optimum sensor position and measuring direction will be determined through comparing the response feature at different surface nodes.