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Ultrasound-based Condition Monitoring of Power Converters with Physics-Informed Compression
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| Author(s) |
Youssof FASSI, Vincent HEIRIES, Jérôme BOUTET, Julien MARIANNE, Sébastien MARTIN, Mathilde CHAREYRON, Clément CHAMBON, Sébastien BOISSEAU |
| Abstract |
Condition monitoring of power converters is vital but challenging due to sensor invasiveness and high computational demands. This paper introduces a non-invasive ultrasound-based approach using CNN autoencoders with a physics informed loss function for efficient data compression, outperforming traditional wavelet methods, enhancing data storage needs, and improving diagnostic feature extraction. |
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| Filename: | 0144-epe2025-full-17585544.pdf |
| Filesize: | 565.8 KB |
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| Type |
Members Only |
| Date |
Last modified 2025-08-31 by System |
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