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Tongyang Pan
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Journal Publications
Integrating Misidentification and OOD Detection for Reliable Fault Diagnosis of High-Speed Train Bogie.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
A global and joint knowledge distillation method with gradient-modulated dynamic parameter adaption for EMU bogie bearing fault diagnosis.Measurement
Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects.Expert Systems with Applications
Contrastive feature-based learning-guided elevated deep reinforcement learning: Developing an imbalanced fault quantitative diagnosis under variable working conditions.MECHANICAL SYSTEMS AND SIGNAL PROCESSING
A meta-weighted network equipped with uncertainty estimations for remaining useful life prediction of turbopump bearings.Expert Systems with Applications
A multi-head attention network with adaptive meta-transfer learning for RUL prediction of rocket engines.Reliability Engineering & System Safety
A meta network pruning framework for remaining useful life prediction of rocket engine bearings with temporal distribution discrepancy.Mechanical Systems and Signal Processing
Generative adversarial network in mechanical fault diagnosis under small sample: A systematic review on applications and future perspectives.ISA transactions
Deep Feature Generating Network: A New Method for Intelligent Fault Detection of Mechanical Systems under Class Imbalance.IEEE Trans. Ind. Informat.
Intelligent fault identification for industrial automation system via multi-scale convolutional generative adversarial network with partially labeled samples.ISA Trans.
A Deep Learning Network via Shunt-wound Restricted Boltzmann Machines Using Raw Data for Fault Detection.IEEE Trans. Instrum. Meas.
A Novel Deep Learning Network via Multi-Scale Inner Product with Locally Connected Feature Extraction for Intelligent Fault Detection.IEEE Trans. Ind. Informat.
Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects.Knowledge-Based Systems
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