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

PMSMs play a crucial role in renewable energy systems, electric vehicles, and aerospace applications due to their high efficiency and power density. 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 the strengths and limitations of these methods, 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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