1. 1-D CNNs for structural damage detection: ?verification on a structural health monitoring benchmark data;Abdeljaber;Neurocomputing,2017
2. Uncertainty quantification in deep convolutional neural network diagnostics of journal bearings with ovalization fault;Alves;Mechanism and Machine Theory,2020
3. Domain adaptation network base on contrastive learning for bearings fault diagnosis under variable working conditions;An;Expert Systems with Applications,2023
4. Speed invariant bearing fault characterization using convolutional;Appana;Neural Networks,2017
5. Tinyml-enabled edge implementation of transfer learning framework for domain generalization in machine fault diagnosis;Asutkar;Expert Systems with Applications,2023