秦毅,毛永芳,张台生(学),钱泉(学).Large Model for Rotating Machine Fault Diagnosis Based on a Dense Connection Network With Depthwise Separable Convolution:IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2024,73:-

秦毅,毛永芳,刘虹余(学),王义.Inverse physics-informed neural networks for digital twin-based bearing fault diagnosis under imbalanced samples:KNOWLEDGE-BASED SYSTEMS,2024,292:-

奚德君,秦毅,侯磊(学),吴飞.Deep learning-based inpainting of high dynamic range fringe pattern for high-speed 3D measurement of industrial metal parts:ADVANCED ENGINEERING INFORMATICS,2024,60:-

曹沛宇,秦毅,李启瑞(学),Feng.Dynamic modeling of spur gear transmission system with evolutive coupling fault of fatigue crack and wear:ENGINEERING FAILURE ANALYSIS,2024,156:-

钱泉,秦毅,罗均.Heterogeneous Federated Domain Generalization Network With Common Representation Learning for Cross-Load Machinery Fault Diagnosis:IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2024:-

秦毅,毛永芳,刘虹余(学).Faulty rolling bearing digital twin model and its application in fault diagnosis with imbalanced samples:ADVANCED ENGINEERING INFORMATICS,2024,61:-

Xiang, S,秦毅, S(外),Li, PH(外),罗均.Micro Transfer Learning Mechanism for Cross-Domain Equipment RUL Prediction:IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,2024:-

Quan Qian, Jun Luo, Yi Qin*. Heterogeneous federated domain generalization network with common representation learning for cross-load machinery fault diagnosis. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024, DOI: 10.1109/TSMC.2024.3408058.

Jianghong Zhou, Junyu Qi, Dingliang Chen, Yi Qin*. Continuous remaining useful life prediction by self-guided attention convolutional neural network and memory consciousness adjustment. IEEE Internet of Things Journal, 2024, DOI: 10.1109/JIOT.2024.3421673.

Quan Qian, Huayan Pu, Tianjia Tu, Yi Qin*. Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis. Mechanical Systems and Signal Processing, 2024, 217: 111544.