基于人工智能的电力电子变换器开路故障诊断研究综述

Review for AI-based Open-circuit Faults Diagnosis Methods in Power Electronics Converters

电力电子变换器已被广泛应用于航空航天系统、直流输电、分布式能源和智能电网等领域,其可靠性问题成为学术界和工业界的研究热点。开展对电力电子变换器开路故障监测与智能诊断方法研究,对避免二次故障、降低运维时间与成本和提高电力电子系统可靠性具有重要意义。文章首先对电力电子变换器故障特征进行分析与总结,然后对特定基于人工智能(artificial intelligence,AI)技术的电力电子变换器开路故障诊断方法及应用实例综述,随后提出一种基于随机森林与瞬时故障特征相结合的故障诊断方法用于三相电力电子变换器故障诊断,最后提出基于AI的电力电子变换器开路故障诊断方法面临的挑战,并展望该领域未来的研究方向。

Power electronics converters have been widely used in aerospace system, DC transmission, distributed energy, smart grid and so forth, and their reliability has been a hot spot in academia and industry. It is of great significance to carry out power electronics converters open-circuit faults monitoring and intelligent fault diagnosis to avoid secondary faults, reduce time and cost of operation and maintenance, and improve the reliability of power electronics system. Firstly, the faults features of power electronic converters are analyzed and summarized. Secondly, some AI-based fault diagnosis methods and application examples with power electronics converters are reviewed, and a fault diagnosis method based on the combination of random forests and transient fault features is proposed for the three-phase power electronics converters. Finally, the future research challenges and directions of AI-based fault diagnosis methods are pointed out.