Addressing data scarcity using audio signal augmentation and deep learning for bolt looseness prediction
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DOI: 10.1088/1361-665x/ad5c24
Abstract: Deep learning models such as convolutional neural networks (CNNs) encounter challenges, including instability and overfitting, while predicting bolt looseness in data-scarce scenarios. In this study, we proposed a novel audio signal augmentation approach to classify… read more here.
Keywords: cnn models; bolt looseness; looseness; signal augmentation ... See more keywords