{"title":"用小波分析诊断电动机的技术状态","authors":"O. Bolshunova, I. Korolyov","doi":"10.1109/MEACS.2015.7414863","DOIUrl":null,"url":null,"abstract":"The wavelet-analysis of diagnostic signal of asynchronous motor is reviewed. Realization of the wavelet-transformation in applied programs package Matlab Wavelet Toolbox is shown. The results of experimental studies work are presented.","PeriodicalId":423038,"journal":{"name":"2015 International Conference on Mechanical Engineering, Automation and Control Systems (MEACS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Diagnostics of the technical state of electric motors using wavelet analysis\",\"authors\":\"O. Bolshunova, I. Korolyov\",\"doi\":\"10.1109/MEACS.2015.7414863\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The wavelet-analysis of diagnostic signal of asynchronous motor is reviewed. Realization of the wavelet-transformation in applied programs package Matlab Wavelet Toolbox is shown. The results of experimental studies work are presented.\",\"PeriodicalId\":423038,\"journal\":{\"name\":\"2015 International Conference on Mechanical Engineering, Automation and Control Systems (MEACS)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Mechanical Engineering, Automation and Control Systems (MEACS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MEACS.2015.7414863\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Mechanical Engineering, Automation and Control Systems (MEACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEACS.2015.7414863","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Diagnostics of the technical state of electric motors using wavelet analysis
The wavelet-analysis of diagnostic signal of asynchronous motor is reviewed. Realization of the wavelet-transformation in applied programs package Matlab Wavelet Toolbox is shown. The results of experimental studies work are presented.
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