WBUN: an interpretable convolutional neural network with wavelet basis unit embedded for fault diagnosis
Sen Gao,
Zhijin Zhang,
Xin Zhang
et al.
Abstract:Convolutional Neural Network (CNN) is extensively applied in mechanical system fault diagnosis. However, the absence of transparent decision mechanisms in CNNs hinders credibility. To address these challenges, this paper proposes an interpretable wavelet basis unit convolutional network (WBUN). This network incorporates meticulously designed wavelet basis unit (WBU) functions into convolutional layer, creating the interpretable wavelet basis unit convolutional (WBUConv) layer. Convolutional kernels with clear … Show more
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