周江洪,秦毅,A Continuous Remaining Useful Life Prediction Method With Multistage Attention Convolutional Neural Network and Knowledge Weight Constraint:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2024:-

钱泉,秦毅,罗均,钱泉(学).Adaptive Intermediate Class-Wise Distribution Alignment: A Universal Domain Adaptation and Generalization Method for Machine Fault Diagnosis:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2024:-

秦毅,毛永芳,温启军(学),王旅(学).Adaptive generic prototype network with geodesic distance for cross-domain few-shot fault diagnosis:KNOWLEDGE-BASED SYSTEMS,2024,306:-

何彪,秦毅,钱泉(学).Feature Enhancement via Linear Transformation and Its Application in Fault Diagnosis:IEEE INTERNET OF THINGS JOURNAL,2024,11:21895-21903

陈定粮,秦毅,吴飞,王义.A lognormal-normal mixture model for unsupervised health indicator construction and its application into gear remaining useful life prediction:MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2024,220:-

钱泉,秦毅,吴飞,王义.Maximum subspace transferability discriminant analysis: A new cross-domain similarity measure for wind-turbine fault transfer diagnosis:COMPUTERS IN INDUSTRY,2025,164:-

钱泉,秦毅,Zhang,Li,毛永芳.Federated transfer learning for machinery fault diagnosis: A comprehensive review of technique and application:MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2025,223:-

周江洪,秦毅,杨家鸿(学).A systematic overview of health indicator construction methods for rotating machinery:ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE,2024,138:-

秦毅,毛永芳,Yang,何彪(学),陈定粮(学).Multi-layer convolutional dictionary learning network for signal denoising and its application to explainable rolling bearing fault diagnosis:ISA TRANSACTIONS,2024,147:55-70

秦毅,李启瑞(学),王硕(学),曹沛宇(学).Dynamics modeling of faulty planetary gearboxes by time-varying mesh stiffness excitation of spherical overlapping pittings:MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2024,210:-