Zhanfei Gao , Jinyong Yao , Yihai He , Hongyan Dui , Zhaolei Liang , Jiao Li
{"title":"Remaining useful life prediction and preventive maintenance approach for multistate manufacturing systems with feedstock heterogeneity","authors":"Zhanfei Gao , Jinyong Yao , Yihai He , Hongyan Dui , Zhaolei Liang , Jiao Li","doi":"10.1016/j.ress.2025.111352","DOIUrl":null,"url":null,"abstract":"<div><div>The heterogeneity of feedstock quality can interfere with the performance deterioration of processing machines, which disturbs the reliability degradation of manufacturing systems. Therefore, system reliability modeling considering feedstock heterogeneity is crucial for remaining useful life (RUL) prediction and preventive maintenance of manufacturing systems. According to the RUL prediction model of manufacturing systems considering feedstock heterogeneity, this study proposes a profit-based importance measure evaluation model and utilizes it as a guide for preventive maintenance decision. The proposed method mainly includes the following steps: (1) analyzing the degradation mechanism of manufacturing systems with feedstock heterogeneity and expounding the reliability and RUL connotation of manufacturing systems, (2) proposing a RUL prediction approach for manufacturing systems based on system reliability model considering feedstock heterogeneity, (3) developing a profit-based importance measure model to evaluate the contribution of a machine’s maintenance action to the profit that the system can increase over its RUL, thus determining the maintenance priority of processing machines and optimizing preventive maintenance strategy. The effectiveness and superior performance of proposed approach is verified through an industrial case study of a servo valve spool manufacturing system.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"264 ","pages":"Article 111352"},"PeriodicalIF":11.0000,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reliability Engineering & System Safety","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0951832025005538","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
Abstract
The heterogeneity of feedstock quality can interfere with the performance deterioration of processing machines, which disturbs the reliability degradation of manufacturing systems. Therefore, system reliability modeling considering feedstock heterogeneity is crucial for remaining useful life (RUL) prediction and preventive maintenance of manufacturing systems. According to the RUL prediction model of manufacturing systems considering feedstock heterogeneity, this study proposes a profit-based importance measure evaluation model and utilizes it as a guide for preventive maintenance decision. The proposed method mainly includes the following steps: (1) analyzing the degradation mechanism of manufacturing systems with feedstock heterogeneity and expounding the reliability and RUL connotation of manufacturing systems, (2) proposing a RUL prediction approach for manufacturing systems based on system reliability model considering feedstock heterogeneity, (3) developing a profit-based importance measure model to evaluate the contribution of a machine’s maintenance action to the profit that the system can increase over its RUL, thus determining the maintenance priority of processing machines and optimizing preventive maintenance strategy. The effectiveness and superior performance of proposed approach is verified through an industrial case study of a servo valve spool manufacturing system.
期刊介绍:
Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.