Towards AI-assisted Long-term Maintenance in Power Electronics

This paper presents the applications of artificial intelligence (AI) in the long-term maintenance of power electronics. Longterm system performance depends on two major factors including intrinsic material strength and extrinsic stressors. To fulfill the reliability and safety requirements, various life-cycle maintenance approaches can be employed to either reinforce the strength of components or control the stressors. This paper presents the AI-assisted methods for these purposes, including the basics of AI tools, maintenance applications, and implementation hardware of AI for maintenance in power converters. Finally, a perspective on challenges and outlooks in the synergy of AI in power electronics is provided.