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李鑫.基于SWDAE-SVC的矿用齿轮箱自监督故障诊断方法,2023,52(10):21-24
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李鑫,李勇,Yan Ke,司垒,邵海东.An Intelligent Fault Detection Method of Industrial Gearboxes With Robustness One-Class Support Matrix Machine Toward Multisource Nonideal Data,2023
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李鑫,李勇,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,
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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)
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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)
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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)
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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)
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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)
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2024-14632,采煤机截割传动系统微弱故障特征靶向增强与数模协同诊断方法研究,国家自然科学基金委,2024/08/23
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2023-13835,低数据质量下基于级联宽度学习的采煤机截割传动系统故障诊断研究,江苏省科技厅,2023/08/22
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2023-00107,非理想数据下采煤机摇臂传动系统故障诊断研究,2023/04/26
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,某型主减输入级性能退化特征提取和性能评价,航发湖南动力机械研究所,2019-2020。(参与)
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,重大复杂机电系统服役质量检测监测及维护质量控制技术研究(课题5子任务4),国家自然科学基金重大研究计划项目(编号:2016YFF0203400),2016-2019。(参与)
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,深度凸包网络及其在大型旋转机械寿命预测中的应用,国家自然科学基金面上项目(编号:51875183),2019-2021。(参与)
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