Paper Publications
- Li Xin, Shao Haidong, Lu Siliang, Xiang Jiawei, Cai Baoping. Highly-efficient fault diagnosis of rotating machinery under time-varying speeds using LSISMM and small infrared thermal images[J]. IEEE Transactions on Systems, Man and Cybernetics: Systems, 2022, 52(12): 7328-7340. (IF= 11.471，ESI高被引论文，Top期刊)
- Li Xin, Yang Yu, Shao Haidong, Zhong Xiang, Cheng Junsheng. Symplectic weighted sparse support matrix machine for gear fault diagnosis[J]. Measurement, 2021, 168: 108392. (IF=5.131，ESI高被引论文)
- Li Xin, Yang Yu, Cheng Jiang, Shao Haidong, Cheng Junsheng. Maximum margin Riemannian manifold-based hyperdisk for fault diagnosis of roller bearing with multi-channel fusion covariance matrix[J]. Advanced Engineering Informatics, 2022, 51: 101513. (IF= 7.862，Top期刊)
- Li Xin, Yang Yu, Wu Zhantao, Yan Ke, Shao Haidong, Cheng Junsheng. High-accuracy gearbox health state recognition based on graph sparse random vector functional link network[J]. Reliability Engineering & System Safety, 2021: 108187. (IF= 7.247，Top期刊)
- Xin Li.基于SWDAE-SVC的矿用齿轮箱自监督故障诊断方法,2023,52(10):21-24
- Xin Li,liyong,Yan Ke,Si Lei,邵海东.An Intelligent Fault Detection Method of Industrial Gearboxes With Robustness One-Class Support Matrix Machine Toward Multisource Nonideal Data,2023
- Xin Li,liyong,Yan, Ke,Shao, Haidong,(Jing) Lin, Janet.Intelligent fault diagnosis of bevel gearboxes using semi-supervised probability support matrix machine and infrared imaging,2023,v 230,