Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
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Detection and Classification of Demagnetization and Short-Circuited Turns in Permanent Magnet Synchronous Motors

  • Youn, Young-Woo (HVDC Research Division, Korea Electrotechnology Research Institute (KERI)) ;
  • Hwang, Don-Ha (HVDC Research Division, Korea Electrotechnology Research Institute (KERI)) ;
  • Song, Sung-ju (Dept. of Electronic Engineering, Myongji University) ;
  • Kim, Yong-Hwa (Dept. of Electronic Engineering, Myongji University)
  • Received : 2017.03.09
  • Accepted : 2018.03.19
  • Published : 2018.07.01
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Abstract

The research related to fault diagnosis in permanent magnet synchronous motors (PMSMs) has attracted considerable attention in recent years because various faults such as permanent magnet demagnetization and short-circuited turns can occur and result in unexpected failure of motor related system. Several conventional current and back electromotive force (BEMF) analysis techniques were proposed to detect certain faults in PMSMs; however, they generally deal with a single fault only. On the contrary, cases of multiple faults are common in PMSMs. We propose a fault diagnosis method for PMSMs with single and multiple combined faults. Our method uses three phase BEMF voltages based on the fast Fourier transform (FFT), support vector machine(SVM), and visualization tools for identifying fault types and severities in PMSMs. Principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE) are used to visualize the high-dimensional data into two-dimensional space. Experimental results show good visualization performance and high classification accuracy to identify fault types and severities for single and multiple faults in PMSMs.

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References

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