{"title":"Gas-path Component Fault Diagnosis for Gas Turbine Engine: A Review","authors":"Jian Chen, Chao Xu, Yulong Ying, Jingchao Li, Yaofei Jin, Hongyu Zhou, Yun Lin, Bin Zhang","doi":"10.1109/phm-qingdao46334.2019.8942819","DOIUrl":null,"url":null,"abstract":"Gas turbine engines have been the key power machine for energy conversion & utilization in the 21st century efficiently and cleanly. To improve equipment reliability and availability, prolong service life and reduce O&M costs, gas path component diagnosis is an effective technique for detecting evolving deterioration. Although many diagnostic methods based on steady state or quasi-steady state have been obtained, but no complete scientific system of gas-path diagnosis has been formed yet. Aiming at the above problems, a research route of gas-path component fault diagnosis for gas turbine engine is proposed. The proposed research route provides a new solution for diagnosis for complex nonlinear thermodynamic systems.","PeriodicalId":259179,"journal":{"name":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Prognostics and System Health Management Conference (PHM-Qingdao)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/phm-qingdao46334.2019.8942819","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Gas turbine engines have been the key power machine for energy conversion & utilization in the 21st century efficiently and cleanly. To improve equipment reliability and availability, prolong service life and reduce O&M costs, gas path component diagnosis is an effective technique for detecting evolving deterioration. Although many diagnostic methods based on steady state or quasi-steady state have been obtained, but no complete scientific system of gas-path diagnosis has been formed yet. Aiming at the above problems, a research route of gas-path component fault diagnosis for gas turbine engine is proposed. The proposed research route provides a new solution for diagnosis for complex nonlinear thermodynamic systems.
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