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A Hierarchical Deep Domain Adaptation Approach for Fault Diagnosis of Power Plant Thermal System

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Intelligent Fault Identification Based on Multisource Domain Generalization Towards Actual Diagnosis Scenario

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Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network

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Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning

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A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults

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A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis

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A sparse auto-encoder-based deep neural network approach for induction motor faults classification

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Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings

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Fuzzy Classification With Restricted Boltzman Machines and Echo-State Networks for Predicting Potential Railway Door System Failures

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Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis

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