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Considering that it is difficult to make the large sample test and obtain the failure data in the limited test time for high-speed train bearing (HSTB) test, the random performance degradation process model based on the degradation data of bearing relative temperature is used to obtain the reliability function of bearing life with the characteristics of the slow degradation process and relatively stable degradation path. The degradation path model is reasonably given through viewing the unknown coefficients of the model as random variables. According to the analysis to a bearing testing data, the reliability assessment of the bearing life is finally completed, while a guiding role is provided for the reliability assessment problem of HSTB.

RELIABILITY ASSESSMENT OF HIGH-SPEED TRAIN BEARING BASED ON RANDOM PERFORMANCE DEGRADATION IN MINIMUM SAMPLE