Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Permanent Magnet Synchronous Motor Faults Detection Using Current Harmonics & k-Means Clustering

Kumar, Krishna LU orcid ; Vaiyapuri, Viswanathan and Nadarajan, Sivakumar (2025) In IEEE Journal of Emerging and Selected Topics in Industrial Electronics
Abstract

PMSMs have acquired wide applications in industries because of high power density, high efficiency, and reliable operation. PMSMs possess numerous benefits, including low maintenance, smooth operation, quick dynamic response, and improved thermal management due to permanent magnets used instead of rotor windings. These characteristics render PMSMs suitable for use in electric vehicles (EVs), industrial automation, renewable energy systems, aerospace and consumer appliances. Despite the many advantages, PMSMs are also prone to a variety of faults such as stator inter-turn short circuit, rotor demagnetization, and bearing faults, which may lead to performance degradation and machine failure. For reliable PMSMs operation, several fault... (More)

PMSMs have acquired wide applications in industries because of high power density, high efficiency, and reliable operation. PMSMs possess numerous benefits, including low maintenance, smooth operation, quick dynamic response, and improved thermal management due to permanent magnets used instead of rotor windings. These characteristics render PMSMs suitable for use in electric vehicles (EVs), industrial automation, renewable energy systems, aerospace and consumer appliances. Despite the many advantages, PMSMs are also prone to a variety of faults such as stator inter-turn short circuit, rotor demagnetization, and bearing faults, which may lead to performance degradation and machine failure. For reliable PMSMs operation, several fault detection techniques are employed. One of the critical issues in fault diagnosis in PMSM is that correct detection of the nature of the fault is difficult, particularly when small fluctuations in the currents. Stator interturn short circuit faults, demagnetization faults, or bearings faults frequently create small deviations in electrical and mechanical signatures like those suppressed by usual working noise, loads fluctuation, or ambient disturbances. In this paper, we have compared the behavior of various electrical and mechanical faults associated with a PMSM motor. Mainly, Inter-turn short fault, demagnetization fault, and eccentricity faults have been analyzed using Finite Element Analysis (FEA) modeling, frequency domain analysis, and k-Means Clustering. The results bring into focus the effectiveness of these analytical approaches in classifying fault types with high accuracy and provide a robust foundation for the development of sophisticated real-time fault monitoring systems for PMSMs.

(Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
Demagnetization, Eccentricity, Electrical Aircraft, Electrical Faults, EVs, Mechanical Faults, PMSM
in
IEEE Journal of Emerging and Selected Topics in Industrial Electronics
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:105016124887
ISSN
2687-9735
DOI
10.1109/JESTIE.2025.3609657
language
English
LU publication?
yes
id
d2359e84-c8d6-4257-a40a-a63c79a5dcd0
date added to LUP
2025-11-11 15:28:06
date last changed
2025-11-12 03:49:30
@article{d2359e84-c8d6-4257-a40a-a63c79a5dcd0,
  abstract     = {{<p>PMSMs have acquired wide applications in industries because of high power density, high efficiency, and reliable operation. PMSMs possess numerous benefits, including low maintenance, smooth operation, quick dynamic response, and improved thermal management due to permanent magnets used instead of rotor windings. These characteristics render PMSMs suitable for use in electric vehicles (EVs), industrial automation, renewable energy systems, aerospace and consumer appliances. Despite the many advantages, PMSMs are also prone to a variety of faults such as stator inter-turn short circuit, rotor demagnetization, and bearing faults, which may lead to performance degradation and machine failure. For reliable PMSMs operation, several fault detection techniques are employed. One of the critical issues in fault diagnosis in PMSM is that correct detection of the nature of the fault is difficult, particularly when small fluctuations in the currents. Stator interturn short circuit faults, demagnetization faults, or bearings faults frequently create small deviations in electrical and mechanical signatures like those suppressed by usual working noise, loads fluctuation, or ambient disturbances. In this paper, we have compared the behavior of various electrical and mechanical faults associated with a PMSM motor. Mainly, Inter-turn short fault, demagnetization fault, and eccentricity faults have been analyzed using Finite Element Analysis (FEA) modeling, frequency domain analysis, and k-Means Clustering. The results bring into focus the effectiveness of these analytical approaches in classifying fault types with high accuracy and provide a robust foundation for the development of sophisticated real-time fault monitoring systems for PMSMs.</p>}},
  author       = {{Kumar, Krishna and Vaiyapuri, Viswanathan and Nadarajan, Sivakumar}},
  issn         = {{2687-9735}},
  keywords     = {{Demagnetization; Eccentricity; Electrical Aircraft; Electrical Faults; EVs; Mechanical Faults; PMSM}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Journal of Emerging and Selected Topics in Industrial Electronics}},
  title        = {{Permanent Magnet Synchronous Motor Faults Detection Using Current Harmonics & k-Means Clustering}},
  url          = {{http://dx.doi.org/10.1109/JESTIE.2025.3609657}},
  doi          = {{10.1109/JESTIE.2025.3609657}},
  year         = {{2025}},
}