{"title":"Investigation on the health evaluation of mechanical system in powertrain based on subjective and objective fusion method","authors":"Jianpeng Wu, Jian Yang, Yuxin Wang, Liyong Wang, Ruihan Chen","doi":"10.1177/09544070231212531","DOIUrl":null,"url":null,"abstract":"The powertrain is a core component of military heavy tracked vehicles, and the accurate evaluation of its reliability and health is gradually becoming a key technology to improve our military combat effectiveness. However, the powertrain is a complex system integrating mechanical, electrical, and hydraulic components, which is difficult to achieve its accurate assessment and comprehensive characterization. Therefore, using data-driven and expert opinion fusion method to evaluate the mechanical system health is gradually becoming a research trend. This paper points out the composition of evaluation system, and puts forward how to calculate the index. Then using subjective and objective fusion method to analyze these indexes of mechanical system health and calculate the weights of each index. Based on the weights, the fuzzy comprehensive evaluation method is used to score and summarize the change law of mechanical system health. In conclusion, this study enriches the method of effectively evaluating the mechanical system health, and verifies the accuracy of this evaluation method. It will provide an evaluation basis for improving the mechanical system reliability.","PeriodicalId":509770,"journal":{"name":"Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/09544070231212531","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The powertrain is a core component of military heavy tracked vehicles, and the accurate evaluation of its reliability and health is gradually becoming a key technology to improve our military combat effectiveness. However, the powertrain is a complex system integrating mechanical, electrical, and hydraulic components, which is difficult to achieve its accurate assessment and comprehensive characterization. Therefore, using data-driven and expert opinion fusion method to evaluate the mechanical system health is gradually becoming a research trend. This paper points out the composition of evaluation system, and puts forward how to calculate the index. Then using subjective and objective fusion method to analyze these indexes of mechanical system health and calculate the weights of each index. Based on the weights, the fuzzy comprehensive evaluation method is used to score and summarize the change law of mechanical system health. In conclusion, this study enriches the method of effectively evaluating the mechanical system health, and verifies the accuracy of this evaluation method. It will provide an evaluation basis for improving the mechanical system reliability.