Degradation life estimation method for random characteristics of mechanical wear process

The invention discloses a degradation life estimation method for random characteristics of a mechanical wear process. The method comprises the following steps: (1) collecting and recording a mechanical wear degradation amount and a change amount of the degradation amount; (2) establishing a degradation life distribution model for the random characteristics of the mechanical wear process; (3) estimating undetermined parameters of the Gauss-Markov model based on a least square method, and estimating diffusion parameters based on a maximum likelihood estimation method; and substituting the obtained diffusion parameters and undetermined parameters into a degradation life distribution model for random characteristics of the mechanical wear process to obtain a final degradation life distributionfunction of the mechanical component. The method can estimate the wear life of the mechanical component. 本发明公开了一种针对机械磨损过程随机特征的退化寿命预估方法，(1)采集记录机械磨损退化量及退化量的变化量；(2)建立一种针对机械磨损过程随机特征的退化寿命分布模型；(3)基于最小二乘法估算Gauss-Markov模型待定参数,基于极大似然