Ultrasound-based Condition Monitoring of Power Converters with Physics-Informed Compression
Résumé
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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