{"title":"基于变分模态分解和改进堪培拉距离的对称点图滚动轴承故障诊断","authors":"Wei Wang, Jian Wang, Yongjian Sun","doi":"10.51219/jaimld/yongjian-sun/05","DOIUrl":null,"url":null,"abstract":"Citation: Wang, W., Wang, J., & Sun, Y. (2023). Fault Diagnosis of Rolling Bearing Based on Variational Mode Decomposition and Improved Canberra Distance in Symmetrized Dot Pattern Image. J Artif Intell Mach Learn & Data Sci , 1(1), 39-48.","PeriodicalId":487259,"journal":{"name":"Journal of Artificial Intelligence Machine Learning and Data Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fault Diagnosis of Rolling Bearing Based on Variational Mode Decomposition and Improved Canberra Distance in Symmetrized Dot Pattern Image\",\"authors\":\"Wei Wang, Jian Wang, Yongjian Sun\",\"doi\":\"10.51219/jaimld/yongjian-sun/05\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Citation: Wang, W., Wang, J., & Sun, Y. (2023). Fault Diagnosis of Rolling Bearing Based on Variational Mode Decomposition and Improved Canberra Distance in Symmetrized Dot Pattern Image. J Artif Intell Mach Learn & Data Sci , 1(1), 39-48.\",\"PeriodicalId\":487259,\"journal\":{\"name\":\"Journal of Artificial Intelligence Machine Learning and Data Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Artificial Intelligence Machine Learning and Data Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.51219/jaimld/yongjian-sun/05\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Artificial Intelligence Machine Learning and Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51219/jaimld/yongjian-sun/05","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fault Diagnosis of Rolling Bearing Based on Variational Mode Decomposition and Improved Canberra Distance in Symmetrized Dot Pattern Image
Citation: Wang, W., Wang, J., & Sun, Y. (2023). Fault Diagnosis of Rolling Bearing Based on Variational Mode Decomposition and Improved Canberra Distance in Symmetrized Dot Pattern Image. J Artif Intell Mach Learn & Data Sci , 1(1), 39-48.
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