Zeyu Duan;Ran Yao;Wei Lai;Hui Li;Cheng Yang;Yuan Min;Yannan Yuan;Wenxing Han
{"title":"An IGBT Device Health Status Assessment Method Based on Characteristics Identification","authors":"Zeyu Duan;Ran Yao;Wei Lai;Hui Li;Cheng Yang;Yuan Min;Yannan Yuan;Wenxing Han","doi":"10.1109/TIA.2025.3532419","DOIUrl":null,"url":null,"abstract":"The Insulated Gate Bipolar Transistor (IGBT) is a critical component of power electronic equipment, and the health of the IGBT device is of utmost importance to ensure the reliability and stability of the power system. This paper proposes a method for assessing the health status of IGBT device based on characteristics identification. Firstly, a finite element model of the IGBT device is established to analyze the performance of bond-wire and solder layer under the power cycling condition. Secondly, the IGBT device under solder layer failure and bond-wire failure are simulated, and the characteristics parameters of the IGBT device under different aging degree are analyzed. Finally, an adaptive network-based fuzzy inference system (ANFIS) algorithm is used to establish the IGBT device health status assessment model, and power cycling test data is used to verify the accuracy of the health state evaluation model, which reaches more than 94.8%. The results show that the proposed method can effectively evaluate the health status of IGBT device.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"3384-3398"},"PeriodicalIF":4.2000,"publicationDate":"2025-01-21","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/10848327/","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
The Insulated Gate Bipolar Transistor (IGBT) is a critical component of power electronic equipment, and the health of the IGBT device is of utmost importance to ensure the reliability and stability of the power system. This paper proposes a method for assessing the health status of IGBT device based on characteristics identification. Firstly, a finite element model of the IGBT device is established to analyze the performance of bond-wire and solder layer under the power cycling condition. Secondly, the IGBT device under solder layer failure and bond-wire failure are simulated, and the characteristics parameters of the IGBT device under different aging degree are analyzed. Finally, an adaptive network-based fuzzy inference system (ANFIS) algorithm is used to establish the IGBT device health status assessment model, and power cycling test data is used to verify the accuracy of the health state evaluation model, which reaches more than 94.8%. The results show that the proposed method can effectively evaluate the health status of IGBT device.
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.