个人简介
教育及工作经历
2022.09 – 至今 北京理工大学机械与车辆学院 预聘副教授/特别研究员
2020.09 – 2022.09 清华大学机械工程系 水木学者/博士后
2019.02 – 2019.08 纽约大学电子与计算机工程系 访问学者
2015.09 – 2020.08 清华大学机械工程系工学 博士
2011.09 – 2015.06 重庆大学弘深学院/机械学院 工学学士
代表性论文及研究项目
截止2022年9月，发表学术论文30余篇（其中SCI论文16篇，TOP期刊11篇，第一作者25篇，ESI高被引论文1篇），参编英文学术专著1本，公开中国发明专利两项，获得中国振动工程学会科学技术奖一等奖、清华大学水木学者、清华大学优秀博士学位论文、清华大学优秀博士毕业生、重要国际学术会议Best Paper Award 3次等奖励。主持国家自然科学基金、中国博士后科学基金站中特别资助以及面上资助等项目，以核心人员参与国家重点研发计划、国家自然科学基金重点项目、国家自然科学基金国际合作项目等多项重大研究课题。
成果及荣誉
人才计划：
2020年，清华大学“水木学者”计划
主要奖励荣誉：
2022年，清华大学机械系优秀博士后
2022年，IEEE感知诊断预测与控制SDPC国际会议Best Paper Award
2021年，中国振动工程学会科学技术奖一等奖（排第5）
2021年，清华大学机械系优秀博士后
2021年，结构损伤评估DAMAS国际会议Best Paper Award
2021年，清华大学优秀博士学位论文
2021年，清华大学优秀博士毕业生
2020年，清华大学三菱重工奖学金
2019年，教育部博士研究生国家奖学金
2019年，机械失效预防技术MFPT国际会议Student Paper Award
2017年，全国振动理论与应用学术会议优秀论文奖
2016年，清华大学综合优秀一等奖学金
社会职务
国际期刊《Journal of Dynamics, Monitoring and Diagnostics》青年编委
国际期刊《International Journal of Sustainable and Green Energy》编委
国际期刊《Entropy》(SCI, JCR Q2) Guest Editor, Special Issue: Advanced Information-Theory Based Intelligent Methods for Prognostics and Health Management of Complex Systems
2022 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC), Session Chair
IEEE Member，中国振动工程学会会员
IEEE/ASME Transactions on Mechatronics、Renewable Energy、Structural Health Monitoring、ISA Transactions、Mechanism and Machine Theory、Journal of Sound and Vibration、Wind Energy、Measurement等20余种国际SCI期刊同行评审专家
近期论文
查看导师新发文章
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Kong Yun, Wang Tiangyang, Chu Fulei. Meshing frequency modulation assisted empirical wavelet transform for fault diagnosis of wind turbine planetary ring gear. Renewable Energy, 2019, 132:1373-1388. (SCI, TOP, IF 8.634, ESI高被引)
Kong Yun, Wang Tiangyang, Feng Zhipeng, Chu Fulei. Discriminative dictionary learning based sparse representation classification for intelligent fault identification of planet bearings in wind turbine. Renewable Energy, 2020, 152:754-769. (SCI, TOP, IF 8.634)
Kong Yun, Qin Zhaoye, Wang Tiangyang, Han Qinkai, Chu Fulei. An enhanced sparse representation-based intelligent recognition method for planet bearing fault diagnosis in wind turbines. Renewable Energy, 2021, 173:987-1004. (SCI, TOP, IF 8.634)
Kong Yun, Qin Zhaoye, Wang Tiangyang, Rao Meng, Feng Zhipeng, Chu Fulei. Data-driven dictionary design–based sparse classification method for intelligent fault diagnosis of planet bearings. Structural Health Monitoring, 2022, 21(4):1313-1328. (SCI, TOP, IF 5.701)
Kong Yun, Chu Fulei, Qin Zhaoye, Han Qinkai. Sparse learning based classification framework for planetary bearing health diagnostics. Mechanism and Machine Theory, 2022, 173, 104852. (SCI, TOP, IF 4.930)
Kong Yun, Wang Tiangyang, Li Zheng, Chu Fulei. Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet energy spectrum. Frontiers of Mechanical Engineering, 2017, 12:406-419. (SCI, TOP, IF 4.063)
Kong Yun, Wang Tiangyang, Chu Fulei, Feng Zhipeng, Selesnick Ivan. Discriminative dictionary learning-based sparse classification framework for data-driven machinery fault diagnosis. IEEE Sensors Journal, 2021, 21(6):8117-8129. (SCI, IF 4.325)
Kong Yun, Wang Tiangyang, Chu Fulei. Adaptive TQWT filter based feature extraction method and its application to detection of repetitive transients. Science China Technological Sciences, 2018, 61:1556-1574. (SCI, IF 3.903)
Kong Yun, Qin Zhaoye, Han Qinkai, Wang Tiangyang, Chu Fulei. Enhanced dictionary learning based sparse classification approach with applications to planetary bearing fault diagnosis. Applied Acoustics, 2022, 196, 108870. (SCI, IF 3.614)
Kong Yun, Han Qinkai, Chu Fulei. Sparsity assisted intelligent recognition method for vibration-based machinery health diagnostics. Journal of Vibration and Control, 2022, Online. (SCI, IF 2.633)
Kong Yun, Wang Tiangyang, Qin Zhaoye, Chu Fulei. Sparse representation classification with structured dictionary design strategy for rotating machinery fault diagnosis. IEEE Access, 2021, 9:10012-10024. (SCI, IF 3.476)
Han Qinkai, Jiang Ziyuan, Gao Shuai, Kong Yun, Pennacchi Paolo, Chu Fulei. Ultra-compact triboelectric bearing based on a ribbon cage with applications for fault diagnosis of rotating machinery. Nano Energy, 2022, 99, 107263. (SCI, TOP, IF 19.069)
Li Miaofen, Wang Tiangyang, Kong Yun, Chu Fulei. Synchro-reassigning transform for instantaneous frequency estimation and signal reconstruction. IEEE Transactions on Industrial Electronics, 2022, 69(7):7263-7274. (SCI, TOP, IF 8.162)
Han Qinkai, Jiang Ziyuan, Kong Yun, Wang Tiangyang, Chu Fulei. Motor current model for detecting localized defects in planet rolling bearings. IEEE Transactions on Industrial Electronics, 2022. (SCI, TOP, IF 8.162)
Han Qinkai, Jiang Ziyuan, Kong Yun, Chu Fulei. Pre-bent membrane-based disk-type triboelectric nanogenerator applied to fault diagnosis in rotating machinery. IEEE-ASME Transactions on Mechatronics, 2022. (SCI, TOP, IF 5.867)
Wang Tiangyang, Chu Fulei, Han Qinkai, Kong Yun. Compound faults detection in gearbox via meshing resonance and spectral kurtosis methods. Journal of Sound and Vibration, 2017, 392:367-381. (SCI, TOP, IF 4.761)
Kong Yun, Chu Fulei. Dictionary learning-based intelligent recognition method towards machinery fault diagnostics. IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control, Chongqing, China, August 5-7, 2022. (EI, Best Paper Award)
Kong Yun, Chu Fulei. Enhanced Sparse representation-based classification framework for planetary bearing fault identification. 14th International Conference on Damage Assessment of Structures, Shanghai, China, October 29-November 1, 2021. (EI, Best Paper Award)
Kong Yun, Wang Tiangyang, Chu Fulei. Intelligent fault identification of planet bearings using discriminative dictionary learning based sparse representation classification framework. International Conference on Machinery Failure Prevention Technology (MFPT), Philadelphia, USA, May 12-15, 2019. (EI, Student Paper Award)
孔运, 王天杨, 褚福磊. 自适应TQWT滤波器算法及其在冲击特征提取中的应用. 振动与冲击, 2019, 38(11):9-16. (EI)
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