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          師資力量

          Faculty & Staff

          郁明

          個人簡歷:

          郁明,男,1979年出生于安徽合肥,2012年獲新加坡南洋理工大學電氣與電子工程博士學位,2011-2014年新加坡南洋理工大學博士后,2014年至今為合肥工業大學“黃山青年學者”教授,博士生導師。

          研究方向:

          機電系統故障診斷;混雜系統建模與分析;傳感器優化配置;預測與健康管理。

          主持項目:

          1. 合肥工業大學“黃山青年學者”科研建設項目,在研

          2. 國家自然科學基金面上項目,在研

          社會兼職:

          擔任國際學術期刊 《IEEE Transactions on Systems, Man and Cybernetics: Systems》, 《IEEE Transactions on Control System Technology》, 《IEEE Transactions on Industrial Electronics》 , 《Engineering Applications of Artificial Intelligence》, 《IEEE Transactions on Automation Science and Engineering》等期刊審稿人。

          教學:

          《信號分析與處理》,40學時,本科生必修課

          《系統可靠性與故障診斷》,32學時,研究生選修課

          專著:

          1. D. Wang, M. Yu, C. B. Low, and S. Arogeti, Model-based Health Monitoring of Hybrid Systems. New York, Springer-Verlag, 2013.

          代表性論文:

          1. M. Yu and D. Wang, “Model-based health monitoring for a vehicle steering system with multiple faults of unknown types,” IEEE Transactions on Industrial Electronics, vol. 61, no. 7, pp. 3574-3586, 2014.
          2. M. Yu, H. Xia, Y. He, H. Wang, C. Jiang, S. Chen, M. Li, and J. Xu,“Scheduled health monitoring of hybrid systems with multiple distinct faults,” IEEE Transactions on Industrial Electronics, vol. 64, no. 2, pp. 1517-1528, 2017.
          3. M. Yu, D. Wang, M. Luo, and L. Huang, “Prognosis of hybrid systems with multiple incipient faults: augmented global analytical redundancy relations approach,” IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, vol. 41, no. 3, pp. 540-551, 2011.
          4. M. Yu and D. Wang, “Model based prognosis for hybrid systems with mode-dependent degradation behaviors,” IEEE Transactions on Industrial Electronics, vol. 61, no. 1, pp. 546-554, 2014.
          5. M. Yu, D. Wang, M. Luo, “An integrated approach to prognosis of hybrid systems with unknown mode changes. IEEE Transactions on Industrial Electronics, vol. 62, no. 1, pp. 503-515, 2015.
          6. M. Yu, D. Wang, M. Luo and Q. Chen, “Fault detection, isolation and identification for hybrid systems with unknown mode changes and fault patterns,” Expert Systems with Applications, vol. 39, no. 1, pp. 9955-9965, 2012.
          7. S. Arogeti, D. Wang, C. B. Low, and M. Yu, “Fault detection isolation and estimation in a vehicle steering system,” IEEE Transactions on Industrial Electronics, vol. 59, no. 12, pp. 4810-4820, 2012.
          8. M. Yu, M. Luo, S. Arogeti, D. Wang, and X. Z. Zhang, “Simultaneous fault and mode switching identification for hybrid systems based on particle swarm optimization,” Expert Systems with Applications, vol. 37, no. 4, pp. 3000-3012, 2010.

          研究生招生專業:

           博士:電氣工程

           碩士:控制理論與控制工程學碩、控制工程專碩、檢測技術與自動化裝置學碩

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