中国矿业大学主页平台系统李鑫--中文主页--论文成果

+

个人信息

李鑫Xin Li

硕士生导师

电子邮箱：

所在单位：机电工程学院

在职信息：在岗

同专业硕导

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

李鑫, 程军圣, 吴小伟, 王健, 杨宇. SPCA 和 OCHD 相结合的旋转机械早期微弱故障检测方法[J]. 中国机械工程. (录用, EI)
Li Xin, Li Yong, Yan Ke, Shao Haidong, Janet(Jing) Lin. Intelligent fault diagnosis of bevel gearboxes using semi-supervised probability support matrix machine and infrared imaging[J]. Reliability Engineering & System Safety, 2022: 108921. (IF= 7.247，Top期刊)
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, Hu Niaoqing, Cheng Zhe, Cheng Junsheng. Discriminative manifold random vector functional link neural network for rolling bearing fault diagnosis[J]. Knowledge-Based Systems, 2021, 211: 106507. (IF=8.139，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)
Li Xin, Zhong Xiang, Shao Haidong, Han Te, Shen Changqing. Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression[J]. Reliability Engineering & System Safety, 2021, 216: 108018. (IF=7.247，Top期刊)
Li Xin, Yang Yu, Wang Ping, Wang Jian, Cheng Junsheng. A bearing fault diagnosis scheme with statistical-enhanced covariance matrix and Riemannian maximum margin flexible convex hull classifier[J]. ISA transactions, 2021, 111: 323-336. (IF= 5.911，Top期刊)
Li Xin, Shao Haidong, Jiang Hongkai, Xiang Jiawei. Modified Gaussian convolutional deep belief network and infrared thermal imaging for intelligent fault diagnosis of rotor-bearing system under time-varying speeds[J]. Structural Health Monitoring, 2021, 21:339-353. (IF= 5.710，Top期刊)
Li Xin, Yang Yu, Pan Haiyang, Cheng Jian, Cheng Junsheng. Nonparallel least squares support matrix machine for rolling bearing fault diagnosis[J]. Mechanism and Machine Theory, 2020, 145: 103676. (IF= 4.930，Top期刊)
Li Xin, Yang Yu, Pan Haiyang, Cheng Jian, Cheng Junsheng. A novel deep stacking least squares support vector machine for rolling bearing fault diagnosis[J]. Computers in Industry, 2019, 110: 36-47. (IF= 11.245，JCR 1区)

共21条 1/3

首页上页下页尾页页