Lisong He;Jinsong Kang;Dongliang Ke;Fengxiang Wang
{"title":"A Hybrid Model Flux Estimator for Diagnosis of Inter-Turn Short Circuit Fault in Traction Motors Considering Inverter Nonlinearity","authors":"Lisong He;Jinsong Kang;Dongliang Ke;Fengxiang Wang","doi":"10.1109/TIA.2025.3562513","DOIUrl":null,"url":null,"abstract":"Stator inter-turn short circuit (ITSC) faults are among the most severe malfunctions encountered in traction motors, significantly compromising the power output of high-speed trains. This paper presents an effective fault diagnosis method for detecting ITSC faults in traction motors, utilizing a voltage-current hybrid model flux estimator. The fault characterization signal is obtained using the PI module within the flux estimator, specifically designed to compensate for flux errors associated with pure integration and stator resistance measurements at low speeds. Firstly, a mathematical model of the induction motor under ITSC faults is established, and a high-precision voltage-current hybrid flux estimator based on deadbeat stator current observer is proposed. Secondly, the impact of ITSC faults and the characteristics of the inverter nonlinearity on the fault characterization signal is analyzed. Furthermore, an assessment is conducted on the influence of various parameter mismatches in the motor on the fault characterization signal. Finally, the efficacy of the proposed fault diagnosis method is validated through simulations and experiments conducted under diverse operating conditions.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 5","pages":"7707-7717"},"PeriodicalIF":4.5000,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Industry Applications","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10969621/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Stator inter-turn short circuit (ITSC) faults are among the most severe malfunctions encountered in traction motors, significantly compromising the power output of high-speed trains. This paper presents an effective fault diagnosis method for detecting ITSC faults in traction motors, utilizing a voltage-current hybrid model flux estimator. The fault characterization signal is obtained using the PI module within the flux estimator, specifically designed to compensate for flux errors associated with pure integration and stator resistance measurements at low speeds. Firstly, a mathematical model of the induction motor under ITSC faults is established, and a high-precision voltage-current hybrid flux estimator based on deadbeat stator current observer is proposed. Secondly, the impact of ITSC faults and the characteristics of the inverter nonlinearity on the fault characterization signal is analyzed. Furthermore, an assessment is conducted on the influence of various parameter mismatches in the motor on the fault characterization signal. Finally, the efficacy of the proposed fault diagnosis method is validated through simulations and experiments conducted under diverse operating conditions.
期刊介绍:
The scope of the IEEE Transactions on Industry Applications includes all scope items of the IEEE Industry Applications Society, that is, the advancement of the theory and practice of electrical and electronic engineering in the development, design, manufacture, and application of electrical systems, apparatus, devices, and controls to the processes and equipment of industry and commerce; the promotion of safe, reliable, and economic installations; industry leadership in energy conservation and environmental, health, and safety issues; the creation of voluntary engineering standards and recommended practices; and the professional development of its membership.