New IEEE Publication: Detecting & Preventing Demagnetization in Permanent Magnet Generators
We are pleased to share that our latest research on fault detection in Permanent Magnet Generators (PMGs) has been published in IEEE Xplore. This work focuses on improving the detection of demagnetization faults, a critical issue that can lead to severe machine failures if left unaddressed.
About the Research
Permanent Magnet Generators are widely used in renewable energy applications, particularly in wind, wave, and tidal power. Their high efficiency and ability to operate in direct-drive configurations make them a preferred choice for remote installations where maintenance is challenging.
However, demagnetization faults can develop over time, affecting performance and potentially leading to catastrophic failures. Detecting these faults early is essential, yet current diagnostic methods can sometimes result in misdiagnosis, particularly false negatives that fail to identify developing issues.
In this study, we:
✔️ Investigate common diagnostic approaches for detecting demagnetization
✔️ Analyze misdiagnosis risks, including cases where faults are overlooked
✔️ Propose alternative methods to improve detection reliability
Publication Details
📄 Title: Demagnetization Detection, Misdiagnosis, and Impact in Permanent Magnet Generators
📅 Published in: 2024 International Conference on Electrical Machines (ICEM)
📍 Conference Location: Torino, Italy
📖 Read the full paper: IEEE Xplore Link
Meet the Authors
Alexandros Sergakis – School of Electrical and Computer Engineering, Technical University of Crete
Georgios A. Skarmoutsos – School of Engineering, The University of Edinburgh
Markus Mueller – School of Engineering, The University of Edinburgh
Konstantinos N. Gyftakis – School of Electrical and Computer Engineering, Technical University of Crete
Why This Research Matters
For renewable energy systems, ensuring the reliability and longevity of PMGs is crucial. Our research offers new insights into fault detection, helping prevent costly failures and supporting the continued efficiency of renewable power generation.
We welcome collaborations and discussions with researchers, industry professionals, and stakeholders who are interested in advancing fault detection in electrical machines.
For more updates on our research, stay tuned to our News Section.
📖 Read the full paper: IEEE Xplore Link