{"title":"单元映射法在异步电动机低速混沌检测中的应用","authors":"Binhua Li, Ru Yang, Liande Yu","doi":"10.1109/EPE.2016.7695320","DOIUrl":null,"url":null,"abstract":"Chaotic detection is presented to deal with the problem that the weak electrical signals of a stator are difficult to measure when a motor is at a low speed. In practice, traditional chaotic method will take a long time, and it is not accurate enough, so cell mapping theory is introduced, and this approach is faster and more accurate compared with the traditional chaotic method.","PeriodicalId":119358,"journal":{"name":"2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe)","volume":" 14","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of cell mapping method in chaotic detection of asynchronous motor at low speed\",\"authors\":\"Binhua Li, Ru Yang, Liande Yu\",\"doi\":\"10.1109/EPE.2016.7695320\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Chaotic detection is presented to deal with the problem that the weak electrical signals of a stator are difficult to measure when a motor is at a low speed. In practice, traditional chaotic method will take a long time, and it is not accurate enough, so cell mapping theory is introduced, and this approach is faster and more accurate compared with the traditional chaotic method.\",\"PeriodicalId\":119358,\"journal\":{\"name\":\"2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe)\",\"volume\":\" 14\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EPE.2016.7695320\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPE.2016.7695320","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of cell mapping method in chaotic detection of asynchronous motor at low speed
Chaotic detection is presented to deal with the problem that the weak electrical signals of a stator are difficult to measure when a motor is at a low speed. In practice, traditional chaotic method will take a long time, and it is not accurate enough, so cell mapping theory is introduced, and this approach is faster and more accurate compared with the traditional chaotic method.