New Publication: Condition Monitoring of Permanent Magnet Synchronous Machines
We are pleased to announce the publication of our latest research in Energies, as part of the MEGA WAVE project. This comprehensive review explores advanced condition monitoring techniques for Permanent Magnet Synchronous Machines (PMSMs), focusing on key fault types and their implications for reliability.
About the research
Due to their high efficiency and power density, PMSMs are crucial in renewable energy systems, electric vehicles, and aerospace applications. However, they are susceptible to various faults, including demagnetisation, inter-turn short circuits (ITSCs), and eccentricity faults. If left undiagnosed, these faults can significantly affect machine performance and longevity.
This review examines a wide range of diagnostic techniques, including:
Motor Current Signature Analysis (MCSA) and flux monitoring
Time-frequency domain methods such as Hilbert-Huang Transform and Wavelet Transform
Observer-based approaches for enhanced fault detection
Machine learning strategies for predictive maintenance
The study highlights these methods' strengths and limitations, emphasising the need for experimental validation to bridge the gap between theoretical advancements and real-world applications.
Key contributions
A comprehensive review of fault diagnostics in PMSMs
Evaluation of emerging techniques and their practical implementation challenges
Identification of future research directions, including real-time diagnostics and predictive maintenance
Publication details
Title: A Review of Condition Monitoring of Permanent Magnet Synchronous Machines: Techniques, Challenges and Future Directions
Published in: Energies, 2025, 18(5), 1177
Read the full paper: https://www.mdpi.com/1996-1073/18/5/1177
Meet the authors
Alexandros Sergakis, Technical University of Crete
Marios Salinas, Technical University of Crete
Nikolaos Gkiolekas, Technical University of Crete
Konstantinos N. Gyftakis, Technical University of Crete
Why this research matters
Improving fault detection and condition monitoring techniques is essential for increasing the reliability and efficiency of PMSMs across multiple applications. This review provides a valuable resource for researchers and industry professionals seeking to enhance the robustness of these machines in demanding environments.
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