A personalized diagnosis method to detect faults in gears using numerical simulation and extreme learning machine. - Xiaoyang Liu 003; Haizhou Huang; Jiawei Xiang (Knowl. Based Syst., 2020)

A Personalized Diagnosis Method to Detect Faults in a Bearing Based on Acceleration Sensors and an FEM Simulation Driving Support Vector Machine. - Xiaoyang Liu 003; Haizhou Huang; Jiawei Xiang (Sensors, 2020)

FEM Simulation-Based Generative Adversarial Networks to Detect Bearing Faults. - Yun Gao; Xiaoyang Liu 003; Jiawei Xiang (IEEE Trans. Ind. Informatics, 2020)

An ensemble and shared selective adversarial network for partial domain fault diagnosis of machinery. - Xiaoyang Liu 003; Shulin Liu; Jiawei Xiang; Ruixue Sun; Yuan Wei (Eng. Appl. Artif. Intell., 2022)

A transfer learning strategy based on numerical simulation driving 1D Cycle-GAN for bearing fault diagnosis. - Xiaoyang Liu 003; Shulin Liu; Jiawei Xiang; Ruixue Sun (Inf. Sci., 2023)

A conflict evidence fusion method based on the composite discount factor and the game theory. - Xiaoyang Liu 003; Shulin Liu; Jiawei Xiang; Ruixue Sun (Inf. Fusion, 2023)