{"title":"Instantaneous Phase Estimation Based Single-Signal Diagnosis for Inter-Turn Short Circuit Fault in PMSMs","authors":"Dong Wei;Kan Liu;Jing Huang;Jianbo Wang;Shichao Zhou;Huaqiang Cai;Jinya Chen","doi":"10.1109/TEC.2024.3480971","DOIUrl":null,"url":null,"abstract":"Inter-turn short circuit fault is a commonly occurring electrical fault in permanent magnet synchronous machines (PMSMs) with serious consequences. Diagnostic methods under non-stationary operating conditions lie in removing the impact of speed variations, hence the rotational speed signal is essential. In addition, another signal containing the fault feature information is also needed. However, to reduce the amount of data transmitted from the subordinate device to the principal computer, or deal with signal transmission failure and sensor failure to strengthen the reliability, a single signal based diagnostic method is proposed, which only requires any one of the <italic>dq</i>-axis signal, speed, or phase current, even under variable speed conditions. The instantaneous phase is estimated using the single signal based on an intrinsic harmonic feature of the tested machine, and angular resampling is then implemented on the signal based on the fault model. The proposed method is eventually tested on a PMSM using <italic>dq</i>-axis signal, speed, and phase current, respectively. The results show that the estimation error of the instantaneous phase using any signal is less than 1.13%, and accurate fault feature extraction is achieved under different speed conditions.","PeriodicalId":13211,"journal":{"name":"IEEE Transactions on Energy Conversion","volume":"40 2","pages":"1350-1364"},"PeriodicalIF":5.4000,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Energy Conversion","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10717446/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Inter-turn short circuit fault is a commonly occurring electrical fault in permanent magnet synchronous machines (PMSMs) with serious consequences. Diagnostic methods under non-stationary operating conditions lie in removing the impact of speed variations, hence the rotational speed signal is essential. In addition, another signal containing the fault feature information is also needed. However, to reduce the amount of data transmitted from the subordinate device to the principal computer, or deal with signal transmission failure and sensor failure to strengthen the reliability, a single signal based diagnostic method is proposed, which only requires any one of the dq-axis signal, speed, or phase current, even under variable speed conditions. The instantaneous phase is estimated using the single signal based on an intrinsic harmonic feature of the tested machine, and angular resampling is then implemented on the signal based on the fault model. The proposed method is eventually tested on a PMSM using dq-axis signal, speed, and phase current, respectively. The results show that the estimation error of the instantaneous phase using any signal is less than 1.13%, and accurate fault feature extraction is achieved under different speed conditions.
期刊介绍:
The IEEE Transactions on Energy Conversion includes in its venue the research, development, design, application, construction, installation, operation, analysis and control of electric power generating and energy storage equipment (along with conventional, cogeneration, nuclear, distributed or renewable sources, central station and grid connection). The scope also includes electromechanical energy conversion, electric machinery, devices, systems and facilities for the safe, reliable, and economic generation and utilization of electrical energy for general industrial, commercial, public, and domestic consumption of electrical energy.