项盛,项盛(学),朱才朝,王阳阳(学),陈海周(外).Long short-term memory neural network with weight amplification and its application into gear remaining useful life prediction:ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE,2020,91):103587

秦毅,项盛(学),柴毅,陈海周(外).Macroscopic-Microscopic Attention in LSTM Networks Based on Fusion Features for Gear Remaining Life Prediction:IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2020,67):10865-10875

秦毅,李承承(学),曹佛林(学),陈海周(外).A fault dynamic model of high-speed angular contact ball bearings:MECHANISM AND MACHINE THEORY,2020,143):103627

秦毅,邹景强(学),汤宝平,王义,陈海周(外).Transient Feature Extraction by the Improved Orthogonal Matching Pursuit and K-SVD Algorithm With Adaptive Transient Dictionary:IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2020,16):215-227

王义,汤宝平,秦毅,黄涛.Rolling Bearing Fault Detection of Civil Aircraft Engine Based on Adaptive Estimation of Instantaneous Angular Speed:IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2020,16):4938-4948

秦毅,毛永芳,汤宝平,王义,陈海周(外).M-band flexible wavelet transform and its application to the fault diagnosis of planetary gear transmission systems:MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2019,134):106298

王鑫,王鑫(学),王义,项盛(学),陈海周(外).ReLTanh: An activation function with vanishing gradient resistance for SAE-based DNNs and its application to rotating machinery fault diagnosis:NEUROCOMPUTING,2019,363):88-98

张楷,张楷(学),秦毅,邓蕾.Fault diagnosis of planetary gearbox using a novel semi-supervised method of multiple association layers networks:MECHANICAL SYSTEMS AND SIGNAL PROCESSING,131):243-260

侯炳昌,侯炳昌(学),汤宝平,秦毅,陈杨(学),陈禹杭(学).A tacholess order tracking method for wind turbine planetary gearbox fault detection:MEASUREMENT,138):266-277

王义,Peter W. Tse(外),汤宝平,秦毅,邓蕾,黄涛,徐光华(外).Order spectrogram visualization for rolling bearing fault detection under speed variation conditions:MECHANICAL SYSTEMS AND SIGNAL PROCESSING,122):580-596