{"title":"质子交换膜燃料电池诊断的监督分类方法","authors":"E. Pahon, S. Jemei, D. Hissel","doi":"10.1109/DEMPED.2019.8864841","DOIUrl":null,"url":null,"abstract":"This paper deals with a supervised classification approach dedicated to diagnose a PEMFC system. The purpose is to detect and isolate a fault occurring on a fuel cell system based on electrochemical impedance measurements. The air compressor failure, fuel poisoning and stack overheating are the faults considered in this study. Some experimental tests are performed on two similar stacks (only the power changes). The k-nearest neighbors is the supervised classification method that is used as it is well known for its efficiency and simplicity of implementation.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Supervised classification approach dedicated to proton exchange membrane fuel cell diagnostic\",\"authors\":\"E. Pahon, S. Jemei, D. Hissel\",\"doi\":\"10.1109/DEMPED.2019.8864841\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with a supervised classification approach dedicated to diagnose a PEMFC system. The purpose is to detect and isolate a fault occurring on a fuel cell system based on electrochemical impedance measurements. The air compressor failure, fuel poisoning and stack overheating are the faults considered in this study. Some experimental tests are performed on two similar stacks (only the power changes). The k-nearest neighbors is the supervised classification method that is used as it is well known for its efficiency and simplicity of implementation.\",\"PeriodicalId\":397001,\"journal\":{\"name\":\"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DEMPED.2019.8864841\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEMPED.2019.8864841","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper deals with a supervised classification approach dedicated to diagnose a PEMFC system. The purpose is to detect and isolate a fault occurring on a fuel cell system based on electrochemical impedance measurements. The air compressor failure, fuel poisoning and stack overheating are the faults considered in this study. Some experimental tests are performed on two similar stacks (only the power changes). The k-nearest neighbors is the supervised classification method that is used as it is well known for its efficiency and simplicity of implementation.
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