{"title":"Remaining useful life prediction of cylinder liner based on nonlinear degradation model","authors":"Jianxiong Kang, Yanjun Lu, Bin Zhao, Hongbo Luo, Jiacheng Meng, Yongfang Zhang","doi":"10.17531/ein.2022.1.8","DOIUrl":null,"url":null,"abstract":"In order to effectively monitor the wear and predict the life of cylinder liner, a nonlinear\ndegradation model with multi-source uncertainty based on Wiener process is established\nto 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\nconditions of cylinder liner wear are considered into the model by a random function. The\nprobability density function (PDF) formula of RUL is derived, and the maximum likelihood\nestimation 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.","PeriodicalId":50549,"journal":{"name":"Eksploatacja I Niezawodnosc-Maintenance and Reliability","volume":"26 1","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eksploatacja I Niezawodnosc-Maintenance and Reliability","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.17531/ein.2022.1.8","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 5
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.
期刊介绍:
The quarterly Eksploatacja i Niezawodność – Maintenance and Reliability publishes articles containing original results of experimental research on the durabilty and reliability of technical objects. We also accept papers presenting theoretical analyses supported by physical interpretation of causes or ones that have been verified empirically. Eksploatacja i Niezawodność – Maintenance and Reliability also publishes articles on innovative modeling approaches and research methods regarding the durability and reliability of objects.