Proceedings of the 3rd International Conference Resources and Technology (RESAT 2025)

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Study on the Diagnosis of Rotor Faults in Motors using Inrush Current

Authors
Erdenetsetseg Saijaa1, Ariunbolor Purvee2, *, Bold Enkhbold2, Nikita Abramov2
1Faculty of Mineral Processing and Engineering, School of Geology and Mining Engineering, Mongolian University of Science and Technology, Ulan Bator, Mongolia
2Faculty of Mechanical and Electrical Engineering, German-Mongolian Institute for Resource and Technology, Ulaanbaatar, Mongolia
*Corresponding author. Email: ariunbolor@gmit.edu.mn
Corresponding Author
Ariunbolor Purvee
Available Online 25 December 2025.
DOI
10.2991/978-94-6463-928-5_16How to use a DOI?
Keywords
Predictive maintenance; Transient analysis; Fault signature extraction; Dynamic simulation
Abstract

Squirrel-cage induction motors are widely used in industry for their durability, simplicity, and cost-efficiency. However, frequent start-stop cycles, overloads, and aging can lead to mechanical and electrical faults, reducing efficiency, causing unplanned downtime, and increasing maintenance costs. Early fault detection is crucial to ensure system reliability and prevent major failures. This study introduces a method for early rotor fault diagnosis by analyzing the stator inrush current during motor startup. Unlike traditional steady-state approaches, this method captures critical fault signatures at energization, enabling earlier and more accurate detection. The approach is validated through lab experiments and dynamic simulations, effectively identifying rotor bar asymmetries and other rotor issues. Additionally, steady-state simulation results complement the transient analysis for a more robust predictive maintenance strategy. A key finding is the identification of a distinct V-line in the Short-Time Fourier Transform (STFT) of the inrush current, serving as a reliable visual indicator of rotor asymmetry. This research is especially important for Mongolia, where motor condition monitoring is underdeveloped. The proposed techniques can be integrated into regular maintenance to extend motor life, reduce downtime, and improve industrial performance.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference Resources and Technology (RESAT 2025)
Series
Advances in Engineering Research
Publication Date
25 December 2025
ISBN
978-94-6463-928-5
ISSN
2352-5401
DOI
10.2991/978-94-6463-928-5_16How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Erdenetsetseg Saijaa
AU  - Ariunbolor Purvee
AU  - Bold Enkhbold
AU  - Nikita Abramov
PY  - 2025
DA  - 2025/12/25
TI  - Study on the Diagnosis of Rotor Faults in Motors using Inrush Current
BT  - Proceedings of the 3rd International Conference Resources and Technology (RESAT 2025)
PB  - Atlantis Press
SP  - 213
EP  - 227
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-928-5_16
DO  - 10.2991/978-94-6463-928-5_16
ID  - Saijaa2025
ER  -