{"title":"Feature selection and fault classification for an induction motor bearing data by using random forest classifier","authors":"Sudhir Agrawal, Anshul Sharma, Raj Kumar Patel","doi":"10.1504/ijqet.2023.10060207","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":38209,"journal":{"name":"International Journal of Quality Engineering and Technology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Quality Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijqet.2023.10060207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
期刊介绍：
IJQET fosters the exchange and dissemination of research publications aimed at the latest developments in all areas of quality engineering. The thrust of this international journal is to publish original full-length articles on experimental and theoretical basic research with scholarly rigour. IJQET particularly welcomes those emerging methodologies and techniques in concise and quantitative expressions of the theoretical and practical engineering and science disciplines.
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