Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Identification of failure modes in interior permanent magnet synchronous motor under accelerated life test based on dual sensor architecture

  • Sikgyeong Choi (Department of Mechanical Engineering, Konkuk University) ;
  • Jaewook Oh (Department of Mechanical Engineering, Konkuk University) ;
  • Juho Lee (Department of Mechanical Engineering, Konkuk University) ;
  • Woyeong Kwon (Department of Mechanical Engineering, Konkuk University) ;
  • Jeonghae Lee (Department of Mechanical Engineering, Konkuk University) ;
  • Inhyeok Hwang (Department of Mechanical Engineering, Konkuk University) ;
  • Jongbum Park (Intelligent Robotics Research Center, Korea Electronics Technology Institute (KETI)) ;
  • Namsu Kim (Department of Mechanical Engineering, Konkuk University)
  • Received : 2023.08.10
  • Accepted : 2024.03.20
  • Published : 2024.05.20
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Abstract

Recently, the permanent magnet synchronous motors (PMSMs) are considered to be one of the best options for electrical motor due to their high power density and efficiency for various applications including industrial robot and smart mobility. However, the safety and reliability of the PMSM have not been verified sufficiently when compared to the conventional induction motor. The failure of electric motor can lead to catastrophic failure of entire system, so it is important to detect potential failure modes or signs in advance. In this paper, an accelerated life test was carried out to induce and investigate the failure modes of PMSM and various signals were monitored to detect the types of failure modes during the test. The shaft of the motor was radially loaded to accelerate the failure of PMSM. The phase current, temperature, displacement of the shaft, and vibration were monitored to estimate the health state of the motor. As a result, the bearing and the shaft were the most vulnerable components under radially loaded condition. Also, it is proved that the different failure modes can be successfully detected and classified by monitoring the phase current and vibration signal.

Keywords

Acknowledgement

This work was supported by Korea Research Institute for defense Technology planning and advancement(KRIT)—Grant funded by Defense Acquisition Program Administration (DAPA) (KRIT-CT-22-081, Weapon System CBM+ Research Center). This paper was supported by Konkuk University Researcher Fund in 2022"

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