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李舜酩
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教授
- 毕业院校：西安交通大学
- 学历：西安交通大学
- 学位：工学博士学位
- 所在单位：能源与动力学院
- 办公地点：明故宫校区 A10楼 518房间
- 联系方式：13605199671
smli@nuaa.edu.cn
- 电子邮箱：3d63ddec0759d36bb1fef3557e384996191b157b353deb2a804c97b7f6fd52980aa74f44eacb83d781998cedec087ec537c5728b6eb6400f7d00135830ca2eeee3663715a5fe11dcb1d644bc11de0383f935766c7384a488fc71fa34782d9039e1dd983914b48b28dfd5e6442f98e671a2df57e121b395685b92bf6131106032
访问量：
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[1] 李舜酩,李舜酩,钱巍巍,江星星.Deep transfer network for rotating machine fault analysis:Pattern Recognition,2019
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[2] 李舜酩,李舜酩,钱巍巍,易朋兴,张凯成.A novel transfer learning method for robust fault diagnosis of rotating machines under variable work:Measurement,2019
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[3] 李舜酩,李舜酩,潘高元,朱颜琪.A Time–Frequency Correlation Analysis Method of Time Series Decomposition Derived from Synchrosquee:Appl. Sci.,2019
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[4] 李舜酩,李舜酩,马会杰.A Fault Diagnosis Approach for Rolling Bearing Based on Convolutional Neural Network and Nuisance At:APPLIED SCIENCES-BASEL,2019
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[5] 李舜酩,李舜酩,王金瑞,李香莲.An unsupervised learning method for bearing fault diagnosis based on sparse feature extraction:proceedings of 2019 Prognostics and System Health,2019
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[6] 李舜酩,李舜酩,徐坤.EFFECT OF FRICTION HEAT ON VIBRATION RESPONSES OF ROTOR IN REVERSE FULL ANNULAR RUB:The 26th International Congress on Sound and Vibration,2019
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[7] 李舜酩,李舜酩,安增辉,王金瑞,辛玉,徐坤.Generalization of deep neural network for bearing fault diagnosis under different working conditions:Neurocomputing,2019
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[8] 李舜酩,李舜酩,安增辉,辛玉,徐坤,马会杰.An intelligent fault diagnosis framework dealing with arbitrary length inputs under different workin:Measurement Science and Technology,2019
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[9] 李舜酩,李舜酩,苏玉清,沈聪,白云.STUDY ON THE ALLOCATION STRATEGY OF REGENERATIVE BRAKING FORCE WITH:Journal of Mechanical Engineering Research and,2019
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[10] 李舜酩,李舜酩,王金瑞,辛玉,安增辉.Gear Fault Intelligent Diagnosis Based on Frequency-Domain Feature Extraction:Journal of Vibration Engineering & Technologies,2019
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[11] 李舜酩,李舜酩,Jiang, Xing-Xing,Zhou, Dong-Wang,Chen, Yuan-Fan,Shi, Juan-Juan.Time-frequency ridge fusion method and defective identification of planetary gearbox running on time:Zhendong Gongcheng Xuebao,2017
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[12] 李舜酩,李舜酩,陈照峰,李顺,陈照峰,饶志远,王飞,吴操,叶信立.The preparation and research of reduced graphene oxide/glass composite fiber:JOURNAL OF ENGINEERED FIBERS AND FABRICS,2019
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[13] 李舜酩,李舜酩,张宗振,王金瑞,辛玉,安增辉.General normalized sparse filtering: A novel unsupervised learning method for rotating machinery fau:Mechanical Systems and Signal Processing,2019
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[14] 李舜酩,李舜酩,徐坤,辛玉,钱巍巍,丁瑞.A multilayer transfer convolutional neural network for bearing fault diagnosis at variable speed:proceedings of 2019 Prognostics & System Health Management Conference-Qingdao,2019
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[15] 李舜酩,李舜酩,徐坤,王金瑞,安增辉,钱巍巍,马会杰.A novel convolutional transfer feature discrimination network for unbalanced fault diagnosis under v:Measurement Science and Technology,2019
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[16] 李舜酩,李舜酩,辛玉.Novel data-driven short-frequency mutual information entropy threshold filtering and its application:Measurement Science and Technology,2019
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[17] 李舜酩,李舜酩,辛玉,王金瑞.A New Fault Feature Extraction Method for Non-Stationary Signal Based on Advanced Synchrosqueezing T:Journal of Vibration Engineering & Technologies,2019
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[18] 李舜酩,李舜酩,辛玉,张宗振,安增辉,王金瑞.Adaptive Reinforced Empirical Morlet Wavelet Transform and Its Application in Fault Diagnosis of Rot:IEEE Access,2019
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[19] 李舜酩,李舜酩,王金瑞,韩宝坤,安增辉,辛玉,钱巍巍,吴其俊.Construction of a batch-normalized autoencoder network and its application in mechanical intelligent:MEASUREMENT SCIENCE AND TECHNOLOGY,2019
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[20] 李舜酩,李舜酩,王金瑞,安增辉,江星星,钱巍巍,Shanshan Ji.Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines:Neurocomputing,2019
