An interpretable fault diagnosis method for rotating machinery based on adaptive fusion wavelet networks
Transactions of the Institute of Measurement and Control
Published online on October 10, 2025
Abstract
Transactions of the Institute of Measurement and Control, Ahead of Print.
In the field of fault diagnosis, traditional deep learning models suffer from the problem of non-interpretable processes. Moreover, traditional convolutional neural networks (CNNs) and fixed wavelet bases have difficulty in adaptively extracting high-...
In the field of fault diagnosis, traditional deep learning models suffer from the problem of non-interpretable processes. Moreover, traditional convolutional neural networks (CNNs) and fixed wavelet bases have difficulty in adaptively extracting high-...