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****”教授，博士生导师。
研究方向：
机电系统故障诊断；混杂系统建模与分析；传感器优化配置；预测与健康管理。
主持项目：
1. 合肥工业大学“黄山青年****”科研建设项目，在研
2. 国家自然科学基金面上项目，在研
社会兼职：
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
《系统可靠性与故障诊断》，32学时，研究生选修课
专著：
D. Wang, M. Yu, C. B. Low, and S. Arogeti, Model-based Health Monitoring of Hybrid Systems. New York, Springer-Verlag, 2013.
代表性论文：
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.
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.
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.
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.
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.
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.
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.
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.
研究生招生专业：
博士：电气工程
硕士：控制理论与控制工程学硕、控制工程专硕、检测技术与自动化装置学硕
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