孔運，男，工學博士，北京理工大學機械與車輛學院預聘副教授/特別研究員，博士生導師
基本介紹
人物經歷,研究方向,研究成果,代表性論文,研究項目,所獲榮譽,社會任職,
人物經歷
2022.09 – 至今北京理工大學機械與車輛學院預聘副教授/特別研究員
2020.09 – 2022.09清華大學機械工程系水木學者/博士後
2019.02 – 2019.08紐約大學電子與計算機工程系訪問學者
2015.09 – 2020.08清華大學機械工程系工學博士
2011.09 – 2015.06重慶大學弘深學院/機械學院工學學士
研究方向
圍繞特種車輛、新能源汽車、智慧型無人系統等高端裝備，基於信號處理與模式識別、深度學習與人工智慧、智慧型感測與最優控制等理論方法與技術手段，重點開展以下研究：
(1) 高端裝備的故障診斷預測與智慧型運維
(2) 車輛振動分析、綜合感知與智慧型控制
(3) 自感測驅動的智慧型監測與健康診斷
研究成果
截止2022年9月，發表學術論文30餘篇（其中SCI論文16篇，TOP期刊11篇，第一作者25篇，ESI高被引論文1篇），參編英文學術專著1本，公開中國發明專利兩項，獲得中國振動工程學會科學技術獎一等獎、清華大學水木學者、清華大學優秀博士學位論文、清華大學優秀博士畢業生、重要國際學術會議Best Paper Award 3次等獎勵。主持國家自然科學基金、中國博士後科學基金站中特別資助以及面上資助等項目，以核心人員參與國家重點研發計畫、國家自然科學基金重點項目、國家自然科學基金國際合作項目等多項重大研究課題。
代表性論文
[1] 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)
[2] 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)
[3] 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)
[4] 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)
[5] 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)
[6] 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)
[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, IF 4.325)
[8] 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)
[9] 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)
[10] 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)
[11] 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)
[12] 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)
[13] 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)
[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, 2022. (SCI, TOP, IF 8.162)
[15] 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)
[16] 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)
[17] 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)
[18] 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)
[19] 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)
[20] 孔運, 王天楊, 褚福磊. 自適應TQWT濾波器算法及其在衝擊特徵提取中的套用. 振動與衝擊, 2019, 38(11):9-16. (EI)
研究項目
[1] 國家自然科學基金青年基金項目，稀疏框架下風力機傳動系統半監督特徵學習與跨域智慧型診斷研究，2022.01-2024.12，30萬，在研，主持；
[2] 中國博士後科學基金站中特別資助，高端裝備的稀疏智慧型診斷原理與跨域知識遷移機制，2022.06-2022.09，18萬，已結題，主持；
[3] 中國博士後科學基金面上資助，稀疏表示學習驅動的風電裝備傳動系統智慧型故障診斷研究，2021.06-2022.09，8萬，已結題，主持；
[4] 國家自然科學基金重點項目，大型風電裝備故障機理分析與診斷，2014.01-2018.12，320萬，已結題，骨幹；
[5] 國家自然科學基金國際合作項目，非平穩信號非高斯特徵的建模、識別、分割與提取方法研究及其在複雜機械系統狀態監測與診斷中的套用，2022.01-2024.12，149萬，在研，骨幹；
[6] 國家重點研發計畫，面向大數據的高端軸承狀態監測與健康管理技術，2020.10-2023.09，1271萬元，在研，參與；
[7] 國家重點研發計畫，工業機器人智慧型故障診斷及健康評估系統，2019.06-2022.05，841萬元，已結題，參與；
[8] 國家自然科學基金面上項目，風力機齒輪傳動系統典型故障的跨工況智慧型診斷研究，2020.01-2023.12，60萬，在研，骨幹；
[9] KONE Elevators Co., Ltd.-Tsinghua University Research Project, Condition monitoring and diagnostics of elevator and escalator II, 2018.03-2019.05, 700,000 RMB, 已結題，骨幹；
[10] Mitsubishi Heavy Industries, Ltd.-Tsinghua University Joint Research Project, Development of higher frequency vibration measurement method by non-uniform sampling and compressive sensing, 2018.09-2019.09, 5,000,000 Yen, 已結題，骨幹。
所獲榮譽
人才計畫：
[1] 2020年，清華大學“水木學者”計畫
主要獎勵榮譽：
[1] 2022年，清華大學機械系優秀博士後
[2] 2022年，IEEE感知診斷預測與控制SDPC國際會議Best Paper Award
[3] 2021年，中國振動工程學會科學技術獎一等獎（排第5）
[4] 2021年，清華大學機械系優秀博士後
[5] 2021年，結構損傷評估DAMAS國際會議Best Paper Award
[6] 2021年，清華大學優秀博士學位論文
[7] 2021年，清華大學優秀博士畢業生
[8] 2020年，清華大學三菱重工獎學金
[9] 2019年，教育部博士研究生國家獎學金
[10] 2019年，機械失效預防技術MFPT國際會議Student Paper Award
[11] 2017年，全國振動理論與套用學術會議優秀論文獎
[12] 2016年，清華大學綜合優秀一等獎學金
社會任職
1. 國際期刊《Journal of Dynamics, Monitoring and Diagnostics》青年編委
2. 國際期刊《International Journal of Sustainable and Green Energy》編委
3. 國際期刊《Entropy》(SCI, JCR Q2) Guest Editor, Special Issue: Advanced Information-Theory Based Intelligent Methods for Prognostics and Health Management of Complex Systems
4. 2022 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC), Session Chair
5. IEEE Member，中國振動工程學會會員
6. 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餘種國際SCI期刊同行評審專家
