Lixiang He

An Intelligent Bearing Fault Diagnosis Model with Physics-Information Fusion: Design and Interpretability Mechanism Research

To address the issue of limited interpretability in current deep learning-based bearing fault diagnosis methods, this study proposes a convolutional neural network model incorporating spectral physical constraints. The model integrates data-driven learning with physical constrain...