{"title":"An Enhanced Joint Indicator for Starter Failure Diagnostics in Auxiliary Power Unit","authors":"Yu Zhang, Jie Liu, Houman Hanachi, Chunsheng Yang","doi":"10.22215/jphm.v3i1.4154","DOIUrl":null,"url":null,"abstract":"Degradation of the starter can lead to the failure of starting Auxiliary Power Units (APU) and the consequent safety hazards. To improve performance monitoring and malfunction prediction of APUs, in this paper, two indicators are developed based on the physics-based model of the APU starting process. The indicators quantify the health level of the starter and provide diagnostic information with no need for past measurements from the system. The health indicators are proposed to identify the degradation of the starter at both the system level and component level. An enhanced joint indicator is then developed to aggregate the two individual indicators to detect the starter failure within a two-dimensional feature space. Receiver operating characteristic (ROC) curves are adopted to evaluate the diagnostic performance of the three indicators and the optimal thresholds are determined based on the trade-off between the diagnostic reliability and the operating cost reduction. The enhanced joint indicator exhibits superior diagnostic performance and offers a significant improvement in overall maintenance costs.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2023-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22215/jphm.v3i1.4154","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Degradation of the starter can lead to the failure of starting Auxiliary Power Units (APU) and the consequent safety hazards. To improve performance monitoring and malfunction prediction of APUs, in this paper, two indicators are developed based on the physics-based model of the APU starting process. The indicators quantify the health level of the starter and provide diagnostic information with no need for past measurements from the system. The health indicators are proposed to identify the degradation of the starter at both the system level and component level. An enhanced joint indicator is then developed to aggregate the two individual indicators to detect the starter failure within a two-dimensional feature space. Receiver operating characteristic (ROC) curves are adopted to evaluate the diagnostic performance of the three indicators and the optimal thresholds are determined based on the trade-off between the diagnostic reliability and the operating cost reduction. The enhanced joint indicator exhibits superior diagnostic performance and offers a significant improvement in overall maintenance costs.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.