Review of Data-Driven Artificial Intelligence Applications in Electric Machines and Drive Systems
计算机科学
人工智能
作者
Lin Liu,Youguang Guo,Gang Lei,Jianguo Zhu
标识
DOI:10.1109/ifeec58486.2023.10458448
摘要
It is expected that the continuous advancements in learning algorithms and specialized embedded hardware platforms will establish data-driven artificial intelligence (AI) based techniques as standard tools for automating high-performance modelling, design, optimization and control of electric machines and drive systems. Our research delves into the various AI-based numerical and analytical approaches employed in electric drive systems. Moreover, this review article systematically summarizes the strengths and weaknesses of different algorithms in practical applications. More importantly, valuable insights into fostering the widespread adoption of AI in the automatic industry are further forwarded.