Application of Artificial Intelligence-Based Technique in Electric Motors: A Review

Wangde Qiu, Xing Zhao, Andy Tyrrell, Suresh Perinpanayagam, Shuangxia Niu, Guojun Wen

Research output: Journal article publicationJournal articleAcademic researchpeer-review


Electric motors find widespread application across various industrial fields. The pursuit of enhanced comprehensive electric motors performance has consistently drawn significant attention, prompting extensive research in this domain. With the rapid and profound integration of artificial intelligence (AI) technology into diverse sectors, an increasing array of AI-based methodologies are being employed in electric motors research. This review aims to comprehensively delineate the applications of AI within the realm of electric motors, specifically focusing into three pivotal stages: electric motors design, drive control and health maintenance, covering a full-cycle research and development of electric motors. The review commences by outlining the elucidation of the fundamental principles and components of AI. Subsequently, the encompassed input signals, characteristic methodologies and AI techniques are reviewed and analyzed as demonstrated by pertinent research cases. Furthermore, a synthesis of the distinctive attributes characterizing various techniques is presented. Conclusively, this paper offers an unprecedented review of AI-based technology throughout the entirety of the electric motors research cycle. Considering the existing body of knowledge, this paper stands as the pioneering endeavor to encapsulate the expansive domain of AI's influence in electric motors research.

Original languageEnglish
Pages (from-to)1-27
Number of pages27
JournalIEEE Transactions on Power Electronics
Publication statusPublished - 18 Jun 2024


  • Artificial intelligence
  • artificial intelligence
  • design
  • drive control
  • electric motors
  • Electric motors
  • Fault diagnosis
  • Fuzzy logic
  • maintenance
  • Maintenance
  • Optimization
  • Reviews

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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