Model Parameter Identification for Induction Motor Fault Diagnosis

Open access 2026

Real-Time Implementation of Hammerstein Models for Temperature Estimation in Permanent-Magnet Synchronous Motors

Accurate real-time temperature estimation of permanent-magnet synchronous motors is essential to prevent overheating and ensure reliable operation. To this end, electric and thermal models are often used due to their low computational burden. However, parameter estimation for these models is challenging and error-prone...

E. Martinez-Ríos, Irving S. Aguilar-Zamorate, Saulius Pakštys et al. · IEEE Access · 0 citations

Conference Open access 2026

Simulation and analysis of inter-turn short-circuit fault in a 3-phase induction machine using an internal equivalent circuit model

This work develops a circuit-based simulation framework dedicated to the study of stator inter-turn short-circuit (ITSC) defects in three-phase induction machines. The formulation relies on an internal equivalent circuit (IEC) description in which every stator coil and rotor bar is characterized individually through...

Anas Hankour, A. Yazidi, F. Betin et al. · EPJ Web of Conferences · 0 citations

Open access Sep 2026

An FEM-Informed Statistical Feature Extraction and Comparative Machine Learning Framework for Dynamic Eccentricity Fault Diagnosis in Interior Permanent Magnet Synchronous Motors

Interior Permanent Magnet Synchronous Motors (IPMSMs) are widely used in traction and industrial drive systems because they combine high efficiency, high power density, and excellent performance over a wide speed range. Rotor eccentricity, however, remains one of the most significant faults affecting their reliable ope...

A. Abeena, N. P. Kumar · Machines · 0 citations

Conference Aug 2026

High-Frequency Circuit Modeling of IPMSM Using Three-Step Method

This paper presents a method for establishing high-frequency circuit model for concentrated-winding permanent magnet synchronous motors (PMSMs). The method follows the three-step technical route: first, parasitic capacitances are extracted via electrostatic finite element analysis (FEA); second, small-signal time-harmo...

C. Zhong, Sa Zhu, Hao-Kun Zhu et al. · 2026 6th Power System and Gr... · 0 citations

2026

Dynamic Model-Aided Intelligent Fault Diagnosis Method for Brushless DC Motor-Reducers

Brushless DC (BLDC) motor-reducers, valued for their high efficiency and controllability, are widely used in industrial automation, consumer electronics, and new energy vehicles. Reliable operation and accurate fault diagnosis are of great significance using artificial intelligence (AI) based fault diagnosis. However,...

Ding-Fa Yang, Jian-Hong Yu, Xing-Wu Zhang et al. · IEEE Transactions on Reliabi... · 0 citations

Open access Aug 2026

Simulation-driven diagnosis of stator phase-current imbalance in wind turbine induction generators using multi-signal features and explainable machine learning

Overall, the sample-level results are promising, indicating that the multi-signal, physics-based feature set and interpretability are useful, however, the configuration-level results suggest that the current 9-configuration simulation setup is not yet sufficient for definitive diagnostic accuracy.

Sghiouri Sara, Hamza Sabir, Mohamed Bezza et al. · Engineering Research Express · 0 citations