李鑫讲师
李鑫，1993年5月出生，山东滨州人，长期从事煤机装备故障诊断方面的研究，主持国家自然科学基金项目1项、江苏省自然科学基金项目1项、中国博士后科学基金面上项目1项、中央高校基本科研业务费资助项目1项、浙江省博士后择优资助项目1项、国家\省部级重点实验室开放基金2项；参与国家重点研发计划项目1项、国家自然科学基金面上项目2项；在国内外权威期刊上发表高质量论文30余篇，其中以第一作者发表中科院2区以上SCI论文15篇（3篇高被引论文，1篇热点论文，13篇TOP期刊），担任Fron... More+
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)
李鑫, 杨宇, 程健, 邵海东，程军圣. 基于鲁棒不平衡凸包分类的锥齿轮箱故障诊断方法[J]. 机械工程学报. (网络发表，EI)
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)
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, 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, Cheng Jian, Shao Haidong, Liu Kan, Cai Baoping. A Fusion CWSMM-based Framework for Rotating Machinery Fault Diagnosis under Strong Interference and Imbalanced Case[J]. IEEE Transactions on Industrial Informatics, 2021, 18(8): 5180-5189. (IF= 11.648，ESI高被引论文，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)
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, 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, 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, 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, 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)