入选中国科协青年人才托举工程、北京市科协青年托举人才工程和清华大学水木学者计划。截至2023年12月,发表学术论文40余篇(其中SCI期刊论文25篇,TOP期刊20篇,一作/通讯37篇,ESI高被引论文多篇),参编英文学术专著1本,已公开/授权中国发明专利6项。主持国家自然科学基金、JCJQ计划重点项目专题、河北省自然基金面上项目、中国博士后科学基金站中特别资助及面上资助等纵向科研项目,核心参与国家重点研发计划、国家自然科学基金重点项目、国防基础科研、国家自然科学基金国际合作与交流项目等多项重大课题,获得中国振动工程学会科学技术奖一等奖、清华大学优秀博士学位论文、清华大学优秀博士毕业生、领域权威国际学术会议Best Paper Award 4次(均为一作)等奖励。 代表性论文: [1] Kong Yun, Han Qinkai, Chu Fulei, Qin Yechen, Dong Mingming. Spectral ensemble sparse representation classification approach for super-robust health diagnostics of wind turbine planetary gearbox. Renewable Energy, 2023. (SCI, TOP, IF 8.7) [2] Kong Yun, Qin Zhaoye, Wang Tiangyang, Rao Meng, Zhipeng Feng, 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 6.6) [3] 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 5.2) [4] 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 3.4) [5] Kong Yun, Han Qinkai, Chu Fulei. Sparsity assisted intelligent recognition method for vibration-based machinery health diagnostics. Journal of Vibration and Control, 2023, 29 (17-18): 4230-4241. (SCI, IF 2.8) [6] 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 8.7) [7] 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, TOP, IF 4.3) [8] 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 8.7) [9] 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 8.7, ESI高被引) [10] 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 4.6) [11] 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 4.5) [12] 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 3.9) [13] Ruan Shenhao, Gao Shuai, Feng Jigang, Kong Yun, Han Qinkai, Chu Fulei. Intelligent triboelectric V-belts with condition monitoring capability. Mechanical Systems and Signal Processing, 2024, 209, 111132. (SCI, TOP, IF 8.4) [14] 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, 2023, 70(9):9483-9494. (SCI, TOP, IF 7.7) [15] Miao Yijun, Gao Shuai, Kong Yun, Jiang Ziyuan, Han Qinkai, Chu Fulei. Variable reluctance bearing generators applicable in condition monitoring of bearing cages. Mechanical Systems and Signal Processing, 2023, 194, 110249. (SCI, TOP, IF 8.4) [16] 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 17.6) [17] 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 7.7) [18] 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, 27(6):4686-4696. (SCI, TOP, IF 6.4) [19] 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 4.7) [20] Kong Yun, Han Te, Han Qinkai, Zou Lin, Mingming Dong, Chu Fulei. A novel spectral sparse classification scheme with applications to intelligent diagnostics of wind turbine planetary gearboxes. The UNIfied Conference of DAMAS, InCoME and TEPEN, Huddersfield, UK, August 29-September 1, 2023. (EI, Best Paper Award) [21] 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) [22] 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) [23] 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) 研究项目: [1] 国家自然科学基金青年基金项目,52105108,2022.01-2024.12,在研,主持; [2] JCJQ计划重点项目专题,XXX,XXX耦合作用机理,2022.11-2027.11,在研,主持. [3] 中国科协青年人才托举工程,2023QNRC001,2023.09-2026.09,在研,主持; [4] 北京市科协青年人才托举工程,2024.01-2026.12,在研,主持; [5] 河北省自然科学基金面上项目,E2023105039,2023.01-2025.12,在研,主持; [6] 12BET青年教师学术启动计划,XSQD6120220226, 2023.01-2025.12,在研,主持; [7] 中国博士后科学基金站中特别资助,2022T150352,2022.03-2022.09,结题,主持; [8] 中国博士后科学基金面上资助,2021M691778,2021.03-2022.09,结题,主持; [9] 国家自然科学基金重点项目,51335006,2014.01-2018.12,结题,骨干; [10] 国家自然科学基金国际合作交流项目,52161135101,2022.01-2024.12,在研,骨干; [11] 国家重点研发计划,2020YFB2007700,2020.10-2023.09,在研,参与; [12] 国家重点研发计划,2018YFB1306100,2019.06-2022.05,结题,参与; [13] 国家自然科学基金面上项目,51975309,2020.01-2023.12,在研,骨干; [14] 国家自然科学基金面上项目,52075281,2021.01-2024.12,在研,骨干; |