{"title":"一种改进的离散谱校正方法在电机故障诊断中的应用","authors":"Jia-lin Wang, Xuanfang Yang","doi":"10.1109/AEMCSE50948.2020.00190","DOIUrl":null,"url":null,"abstract":"Spectrum analysis is an important method to detect the weak characteristic frequency component of motor fault signal. However, according to the complex frequency components in motor fault signals, discrete spectrum correction technology is needed to reduce the error of amplitude and phase obtained by spectrum analysis. Based on the analysis of the advantages and disadvantages of the existing algorithm, an improved spectrum correction method based on the phase difference method is proposed, and the simulation research is carried out to verify the accuracy of the algorithm. The research results show that the algorithm used in this paper has high accuracy.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of an Improved Discrete Spectrum Correction Method in Motor Fault Diagnosis\",\"authors\":\"Jia-lin Wang, Xuanfang Yang\",\"doi\":\"10.1109/AEMCSE50948.2020.00190\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Spectrum analysis is an important method to detect the weak characteristic frequency component of motor fault signal. However, according to the complex frequency components in motor fault signals, discrete spectrum correction technology is needed to reduce the error of amplitude and phase obtained by spectrum analysis. Based on the analysis of the advantages and disadvantages of the existing algorithm, an improved spectrum correction method based on the phase difference method is proposed, and the simulation research is carried out to verify the accuracy of the algorithm. The research results show that the algorithm used in this paper has high accuracy.\",\"PeriodicalId\":246841,\"journal\":{\"name\":\"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AEMCSE50948.2020.00190\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEMCSE50948.2020.00190","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of an Improved Discrete Spectrum Correction Method in Motor Fault Diagnosis
Spectrum analysis is an important method to detect the weak characteristic frequency component of motor fault signal. However, according to the complex frequency components in motor fault signals, discrete spectrum correction technology is needed to reduce the error of amplitude and phase obtained by spectrum analysis. Based on the analysis of the advantages and disadvantages of the existing algorithm, an improved spectrum correction method based on the phase difference method is proposed, and the simulation research is carried out to verify the accuracy of the algorithm. The research results show that the algorithm used in this paper has high accuracy.