Author:
Kang Jianxiong,Lu Yanjun,Zhao Bin,Luo Hongbo,Meng Jiacheng,Zhang Yongfang
Abstract
In order to effectively monitor the wear and predict the life of cylinder liner, a nonlinear
degradation model with multi-source uncertainty based on Wiener process is established
to evaluate the remaining useful life (RUL) of cylinder liner wear. Due to complex service performance of cylinder liner, the uncertainty of operational environment and working
conditions of cylinder liner wear are considered into the model by a random function. The
probability density function (PDF) formula of RUL is derived, and the maximum likelihood
estimation method is adopted to estimate the unknown parameters of PDF. Considering the evaluated parameters as the initial values, the model parameters are updated adaptively, and an adaptive PDF is obtained. Furthermore, the proposed model is compared with two classical degradation models. The results show that the proposed model has a good performance for predicting the life, and the error is within 5%. The method can provide a reference for condition monitoring of cylinder liner wear.
Publisher
Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献