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郁明教授——合肥工业大学

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郁明教授

个人简历:

郁明,男,1979年出生于安徽合肥,2012年获新加坡南洋理工大学电气与电子工程博士学位,2011-2014年新加坡南洋理工大学博士后,2014年至今为合肥工业大学“黄山青年学者”教授,硕士生导师。

研究方向:

机电系统故障诊断;混杂系统建模与分析;传感器配置;预测与健康管理。

主持项目:

合肥工业大学“黄山青年学者”科研建设项目。

社会兼职:

担任国际学术期刊《Journal of Mathematics and Informatics》编委。 担任国际学术期刊 《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》等期刊审稿人。

教学:

《信号分析与处理》,40学时,本科生必修课

论文著作:

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, 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.

3.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.

4.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.

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

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, D. Wang, M. Luo and D. Zhang, “Multiple faults isolation for hybrid systems with unknown fault pattern,” Annual Conference of the PHM Society, 2010, Portland, USA.

9.L. Huang, D. Wang, Y. Shi, M. Yu. “Mode dependent threshold for FDI in hybrid systems,”  IEEE Prognostics & System Health Management Conference (PHM-2010 Macau), 2010.

10.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.

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