Residual life prediction of rolling bearings for rail vehicles based on Proportional Hazard Model

Abstract

Condition monitoring data and reliability data were fused, and the residual life prediction method was proposed based on Proportional Hazard Model (PHM) for rolling bearings of rail vehicles. This method can provide basic data support for rail vehicles' operation security and provide guidance for the optimization of maintenance strategy. Firstly, rolling bearings of rail vehicles was briefly introduced. And then, three specific steps of the proposed life prediction method were described in detail, which including sample data collection, parameter estimation and life prediction. Finally, the experiment was carried out which used vibration data and failure event data of the rolling bearings' full life cycle, and the results show that the correlation coefficient between PHM outputs and the targets was greater than 0.9. The experiment results verify the effectiveness and feasibility of the proposed residual life prediction approach based on PHM.