Remaining useful life prediction of cylinder liner based on nonlinear degradation model

In order to effectively monitor the wear and predict life of cylinder liner, a nonlinear degradation model with multi-source uncertainty based on Wiener process is established evaluate remaining useful (RUL) liner wear. Due complex service performance operational environment working conditions are considered into by random function. The probability density function (PDF) formula RUL derived, maximum likelihood estimation method adopted estimate unknown parameters PDF. Considering evaluated as initial values, updated adaptively, an adaptive PDF obtained. Furthermore, proposed compared two classical models. results show that has good for predicting life, error within 5%. can provide reference condition monitoring