Hamming Distance Method-Based Stator Inter-Turn Short Circuit Phase Detection in PMSM
Kumar, Krishna LU
; Vaiyapuri, Viswanathan
and Nadarajan, Sivakumar
(2025)
2025 IEEE International Conference on Emerging Trends in Engineering and Computing, ETECOM 2025
In 2025 IEEE International Conference on Emerging Trends in Engineering and Computing, ETECOM 2025
- Abstract
Permanent Magnet Synchronous Motor (PMSM) is a main component in electrical aircraft and electric vehicles. Due to its advantages, it is gaining the attention of manufacturers. This machine is highly efficient and reliable. It has a high torque to weight ratio. Due to its criticality in application, we need to detect the faults at the initiation stage. The faults associated with PMSM can be electrical or mechanical faults. One of the severe faults in PMSM is the interturn short circuit fault (ITSF). In this paper, a novel technique using the Hamming distance method has been proposed to detect the faulty phase. The Hamming distance concept is mainly used in information theory to measure the differences between two binary strings having... (More)
Permanent Magnet Synchronous Motor (PMSM) is a main component in electrical aircraft and electric vehicles. Due to its advantages, it is gaining the attention of manufacturers. This machine is highly efficient and reliable. It has a high torque to weight ratio. Due to its criticality in application, we need to detect the faults at the initiation stage. The faults associated with PMSM can be electrical or mechanical faults. One of the severe faults in PMSM is the interturn short circuit fault (ITSF). In this paper, a novel technique using the Hamming distance method has been proposed to detect the faulty phase. The Hamming distance concept is mainly used in information theory to measure the differences between two binary strings having equal length. Most of the existing stator inter-turn short circuit fault detection techniques for a motor are based on the stator current. Detecting inter-turn short circuit faults is challenging as the change in the current spectrum may be due to the other faults also. This idea presents a unique and simple solution for detecting stator inter-turn short circuit faults based on the only phase current of the motor by comparing the percentage change in Hamming distances of each phase with the average Hamming distance. The results demonstrated that the proposed technique is effective for detecting the faulty phases during both transient and steady-state conditions.
(Less)
- author
- Kumar, Krishna
LU
; Vaiyapuri, Viswanathan
and Nadarajan, Sivakumar
- publishing date
- 2025
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- AI/ML, Electrical Aircraft, Electrical Vehicles, Fault Detection, PMSM
- host publication
- 2025 IEEE International Conference on Emerging Trends in Engineering and Computing, ETECOM 2025
- series title
- 2025 IEEE International Conference on Emerging Trends in Engineering and Computing, ETECOM 2025
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2025 IEEE International Conference on Emerging Trends in Engineering and Computing, ETECOM 2025
- conference location
- Riffa, Bahrain
- conference dates
- 2025-10-29 - 2025-10-30
- external identifiers
-
- scopus:105033347582
- ISBN
- 9798331566166
- DOI
- 10.1109/ETECOM66111.2025.11319146
- language
- English
- LU publication?
- no
- additional info
- Publisher Copyright: © 2025 IEEE.
- id
- 6764a842-5e31-48de-8411-3ab2f5575ad1
- date added to LUP
- 2026-05-12 16:03:45
- date last changed
- 2026-05-12 16:04:27
@inproceedings{6764a842-5e31-48de-8411-3ab2f5575ad1,
abstract = {{<p>Permanent Magnet Synchronous Motor (PMSM) is a main component in electrical aircraft and electric vehicles. Due to its advantages, it is gaining the attention of manufacturers. This machine is highly efficient and reliable. It has a high torque to weight ratio. Due to its criticality in application, we need to detect the faults at the initiation stage. The faults associated with PMSM can be electrical or mechanical faults. One of the severe faults in PMSM is the interturn short circuit fault (ITSF). In this paper, a novel technique using the Hamming distance method has been proposed to detect the faulty phase. The Hamming distance concept is mainly used in information theory to measure the differences between two binary strings having equal length. Most of the existing stator inter-turn short circuit fault detection techniques for a motor are based on the stator current. Detecting inter-turn short circuit faults is challenging as the change in the current spectrum may be due to the other faults also. This idea presents a unique and simple solution for detecting stator inter-turn short circuit faults based on the only phase current of the motor by comparing the percentage change in Hamming distances of each phase with the average Hamming distance. The results demonstrated that the proposed technique is effective for detecting the faulty phases during both transient and steady-state conditions.</p>}},
author = {{Kumar, Krishna and Vaiyapuri, Viswanathan and Nadarajan, Sivakumar}},
booktitle = {{2025 IEEE International Conference on Emerging Trends in Engineering and Computing, ETECOM 2025}},
isbn = {{9798331566166}},
keywords = {{AI/ML; Electrical Aircraft; Electrical Vehicles; Fault Detection; PMSM}},
language = {{eng}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{2025 IEEE International Conference on Emerging Trends in Engineering and Computing, ETECOM 2025}},
title = {{Hamming Distance Method-Based Stator Inter-Turn Short Circuit Phase Detection in PMSM}},
url = {{http://dx.doi.org/10.1109/ETECOM66111.2025.11319146}},
doi = {{10.1109/ETECOM66111.2025.11319146}},
year = {{2025}},
}