The Reliability Assessment for Friction Torque Performance of Rolling Bearings
Abstract
A new concept of performance continuity reliability is proposed to forecast the failure degree of friction torque performance of rolling bearings. The reliability assessment model for predicting performance continuity reliability is established based on bootstrap maximum entropy principle. Sufficient sample data is obtained from original performance data using bootstrap re-sampling method. Then, maximum entropy method is applied to achieve probability density function of sample data. According to Poisson counting principle, the frequency that performance data is outside the confidence interval is calculated to obtain performance continuity relative reliability of friction torque performance. Experimental investigation shows that the reliability assessment model can be used to solve problems of reliability assessment for small sample with unknown prior information on probability density function.
Keywords
Rolling bearing, Performance continuity reliability, Bootstrap maximum entropy principle, Poisson process
DOI
10.12783/dtetr/mdm2016/4986
10.12783/dtetr/mdm2016/4986
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