{"title":"考虑不同检测质量程度的预测维修动态检测模型","authors":"Duc-Hanh Dinh , Phuc Do , Minh-Hien Bui , Phuoc-Vinh Dang","doi":"10.1016/j.ress.2025.111165","DOIUrl":null,"url":null,"abstract":"<div><div>In predictive maintenance (PdM), inspection plays a key role since it provides information about system health to support maintenance decision-making. However, inspection may be costly, which is one of the bottlenecks of the PdM. To reduce the overall inspection cost, this paper proposes a dynamic inspection model that incorporates three levels of inspection quality: (1) Binary state inspection, which is the cheapest one, can only reveal the binary state of the system, whether functioning or not; (2) Imperfect degradation inspection, which incurs a higher cost, but can provide the system state and degradation level with uncertainty; and (3) Perfect degradation inspection, which is the most expensive one, can provide the true system’s degradation level. Accordingly, at each inspection epoch, the inspection level is selected based on the predictive reliability of the system. By dynamically selecting the inspection level at each inspection epoch, the overall inspection cost of the system can be reduced. In that way, a reliability prediction model considering three kinds of inspections is first proposed for inspection and maintenance decision-making. Then, a maintenance cost model is developed to find the optimal predictive inspection and maintenance policy. Finally, a case study on predictive maintenance of an injection molding machine is conducted to investigate the applicability and benefit of the proposed dynamic inspection model.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"261 ","pages":"Article 111165"},"PeriodicalIF":9.4000,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A dynamic inspection model for predictive maintenance considering different degrees of inspection quality\",\"authors\":\"Duc-Hanh Dinh , Phuc Do , Minh-Hien Bui , Phuoc-Vinh Dang\",\"doi\":\"10.1016/j.ress.2025.111165\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In predictive maintenance (PdM), inspection plays a key role since it provides information about system health to support maintenance decision-making. However, inspection may be costly, which is one of the bottlenecks of the PdM. To reduce the overall inspection cost, this paper proposes a dynamic inspection model that incorporates three levels of inspection quality: (1) Binary state inspection, which is the cheapest one, can only reveal the binary state of the system, whether functioning or not; (2) Imperfect degradation inspection, which incurs a higher cost, but can provide the system state and degradation level with uncertainty; and (3) Perfect degradation inspection, which is the most expensive one, can provide the true system’s degradation level. Accordingly, at each inspection epoch, the inspection level is selected based on the predictive reliability of the system. By dynamically selecting the inspection level at each inspection epoch, the overall inspection cost of the system can be reduced. In that way, a reliability prediction model considering three kinds of inspections is first proposed for inspection and maintenance decision-making. Then, a maintenance cost model is developed to find the optimal predictive inspection and maintenance policy. Finally, a case study on predictive maintenance of an injection molding machine is conducted to investigate the applicability and benefit of the proposed dynamic inspection model.</div></div>\",\"PeriodicalId\":54500,\"journal\":{\"name\":\"Reliability Engineering & System Safety\",\"volume\":\"261 \",\"pages\":\"Article 111165\"},\"PeriodicalIF\":9.4000,\"publicationDate\":\"2025-04-19\",\"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/S0951832025003667\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reliability Engineering & System Safety","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0951832025003667","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}
A dynamic inspection model for predictive maintenance considering different degrees of inspection quality
In predictive maintenance (PdM), inspection plays a key role since it provides information about system health to support maintenance decision-making. However, inspection may be costly, which is one of the bottlenecks of the PdM. To reduce the overall inspection cost, this paper proposes a dynamic inspection model that incorporates three levels of inspection quality: (1) Binary state inspection, which is the cheapest one, can only reveal the binary state of the system, whether functioning or not; (2) Imperfect degradation inspection, which incurs a higher cost, but can provide the system state and degradation level with uncertainty; and (3) Perfect degradation inspection, which is the most expensive one, can provide the true system’s degradation level. Accordingly, at each inspection epoch, the inspection level is selected based on the predictive reliability of the system. By dynamically selecting the inspection level at each inspection epoch, the overall inspection cost of the system can be reduced. In that way, a reliability prediction model considering three kinds of inspections is first proposed for inspection and maintenance decision-making. Then, a maintenance cost model is developed to find the optimal predictive inspection and maintenance policy. Finally, a case study on predictive maintenance of an injection molding machine is conducted to investigate the applicability and benefit of the proposed dynamic inspection model.
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.