Abstract
This paper presents a Finite Element Method (FEM) model of a Line-Start Permanent Magnet Synchronous Motor (LSPMSM) to simulate early-stage stator Inter-Turn Short-Circuit (ITSC) faults in motor-driven assets for smart-mobility infrastructure. Developed in ANSYS Maxwell, the model captures the effects of incipient ITSC faults across a range of fault severities and operating conditions. Phase voltage, current, and rotor speed were obtained under both healthy and faulty conditions to generate a physics-based synthetic dataset for benchmarking features and evaluating early-stage fault-detection algorithms. Spectral analysis revealed a strong correlation between lower-order harmonic components and fault severity, confirming their utility as diagnostic indicators in ITSC fault detection. The model and the proposed dataset are made publicly accessible and designed for scalability, facilitating further analysis and future diagnostic studies.
| Original language | English |
|---|---|
| Pages (from-to) | 436-443 |
| Number of pages | 8 |
| Journal | Transportation Research Procedia |
| Volume | 97 |
| DOIs | |
| State | Published - 2026 |
| Event | 13th International Conference on Transport Survey Methods, 2026 - Danang, Viet Nam Duration: 30 Mar 2025 → 4 Apr 2025 |
Bibliographical note
Publisher Copyright:Copyright © 2026. Published by Elsevier B.V.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Line-start permanent magnet synchronous motor
- condition monitoring
- finite-element method
- incipient fault
- inter-turn short-circuit
- predictive maintenance
- smart mobility
ASJC Scopus subject areas
- Transportation
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