{"title":"电力电子元件和系统的安全与可靠性特刊编辑","authors":"Frede Blaabjerg;Wu Chen;Haoze Luo","doi":"","DOIUrl":null,"url":null,"abstract":"Efficiency and power density have been widely concerned with the development of power electronics, while the safety and reliability issues are attracting more and more attention in a few years due to the increasingly stringent safety requirements, e.g., in electric vehicle, consumer electronics, and aerospace industries. To understand the failure mechanisms and the safe operation area of components/systems in practical applications, comprehensive testing methods considering the operating conditions are becoming essential. Besides accelerated aging tests, multi-physics modeling, physics-of-failure analyses, degradation modeling, electro-thermal simulation, and lifetime assessment contribute to a better understanding of the failure roots in components and systems and the design of a safer system. Moreover, designing condition monitoring and health status estimation tools, fault diagnosis, fault tolerance, and active thermal management techniques help to realize the predictive maintenance of power electronic components and systems. Finally, emerging artificial intelligence (AI) and machine learning (ML) techniques are getting a lot of attention in aging data processing, remaining useful life estimation, etc. Correspondingly, we organized this Special Issue on Safety and Reliability of Power Electronics Components and Systems to collect emerging research achievements within the scope of safety and reliability of power electronics components and systems and circuits.","PeriodicalId":100339,"journal":{"name":"CPSS Transactions on Power Electronics and Applications","volume":"8 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/7873541/10098701/10098702.pdf","citationCount":"0","resultStr":"{\"title\":\"Editorial for the Special Issue on Safety and Reliability of Power Electronics Components and Systems\",\"authors\":\"Frede Blaabjerg;Wu Chen;Haoze Luo\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Efficiency and power density have been widely concerned with the development of power electronics, while the safety and reliability issues are attracting more and more attention in a few years due to the increasingly stringent safety requirements, e.g., in electric vehicle, consumer electronics, and aerospace industries. To understand the failure mechanisms and the safe operation area of components/systems in practical applications, comprehensive testing methods considering the operating conditions are becoming essential. Besides accelerated aging tests, multi-physics modeling, physics-of-failure analyses, degradation modeling, electro-thermal simulation, and lifetime assessment contribute to a better understanding of the failure roots in components and systems and the design of a safer system. Moreover, designing condition monitoring and health status estimation tools, fault diagnosis, fault tolerance, and active thermal management techniques help to realize the predictive maintenance of power electronic components and systems. Finally, emerging artificial intelligence (AI) and machine learning (ML) techniques are getting a lot of attention in aging data processing, remaining useful life estimation, etc. Correspondingly, we organized this Special Issue on Safety and Reliability of Power Electronics Components and Systems to collect emerging research achievements within the scope of safety and reliability of power electronics components and systems and circuits.\",\"PeriodicalId\":100339,\"journal\":{\"name\":\"CPSS Transactions on Power Electronics and Applications\",\"volume\":\"8 1\",\"pages\":\"1-2\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/iel7/7873541/10098701/10098702.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CPSS Transactions on Power Electronics and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10098702/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CPSS Transactions on Power Electronics and Applications","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10098702/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Editorial for the Special Issue on Safety and Reliability of Power Electronics Components and Systems
Efficiency and power density have been widely concerned with the development of power electronics, while the safety and reliability issues are attracting more and more attention in a few years due to the increasingly stringent safety requirements, e.g., in electric vehicle, consumer electronics, and aerospace industries. To understand the failure mechanisms and the safe operation area of components/systems in practical applications, comprehensive testing methods considering the operating conditions are becoming essential. Besides accelerated aging tests, multi-physics modeling, physics-of-failure analyses, degradation modeling, electro-thermal simulation, and lifetime assessment contribute to a better understanding of the failure roots in components and systems and the design of a safer system. Moreover, designing condition monitoring and health status estimation tools, fault diagnosis, fault tolerance, and active thermal management techniques help to realize the predictive maintenance of power electronic components and systems. Finally, emerging artificial intelligence (AI) and machine learning (ML) techniques are getting a lot of attention in aging data processing, remaining useful life estimation, etc. Correspondingly, we organized this Special Issue on Safety and Reliability of Power Electronics Components and Systems to collect emerging research achievements within the scope of safety and reliability of power electronics components and systems and circuits.