HAL (France)
open access
Interpretable U-Net RCNN for blind peak detection in vibration spectra
Accurate peak detection in vibration spectra is key to early fault diagnosis but remains challenging due to noise and unknown spectral content. This paper presents a hybrid approach combining the benefits of U-Nets and Region-based Convolutional Neural Networks for blind peak detection, trained on c
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