中国矿业大学主页平台系统李鑫--中文主页-- 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)

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李鑫Xin Li

硕士生导师

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所在单位：机电工程学院

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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)

发布时间：2023-01-28 点击次数：

是否译文：否

上一条：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)

下一条：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)