电力电子元件和系统的安全与可靠性特刊编辑

Frede Blaabjerg;Wu Chen;Haoze Luo
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引用次数: 0

摘要

随着电力电子技术的发展,效率和功率密度受到了广泛关注,而由于越来越严格的安全要求,例如在电动汽车、消费电子和航空航天行业,安全和可靠性问题在几年内越来越受到关注。为了了解实际应用中组件/系统的故障机制和安全操作区域,考虑操作条件的综合测试方法变得至关重要。除了加速老化测试外,多物理建模、失效物理分析、退化建模、电热模拟和寿命评估有助于更好地了解组件和系统的故障根源,并设计更安全的系统。此外,设计状态监测和健康状态估计工具、故障诊断、容错和主动热管理技术有助于实现电力电子元件和系统的预测性维护。最后,新兴的人工智能(AI)和机器学习(ML)技术在老化数据处理、剩余使用寿命估计等方面受到了广泛关注。相应地,我们组织了本期《电力电子元件和系统的安全可靠性》特刊,收集电力电子元件、系统和电路安全可靠性领域的新兴研究成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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