A physics-informed multimodal CNN with a bearing-fault-frequency penalty and three transfer-learning strategies reportedly improves fault classification accuracy and cross-dataset generalization.
Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals
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Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning
A physics-informed multimodal CNN with a bearing-fault-frequency penalty and three transfer-learning strategies reportedly improves fault classification accuracy and cross-dataset generalization.