时间：6月12日（星期四）下午2🪸：00 - 2：45

地点🔳：系南529房间

报告人：Shiyu Zhou, Associate Professor, Department of Industrial and Systems Engineering, University of Wisconsin-Madison

报告题目𓀚：Signature-Driven Fault Management Methodologies for Complex Engineering Systems

报告摘要#️⃣：

The continuously growing demand for improved functionality and reliability results in ever-growing complexity in engineering systems such as manufacturing systems and medical imaging systems. The unprecedented complexity makes the fault monitoring, diagnosis, and control very challenging engineering problems. On the other side, due to the rapid development of cyber infrastructure and sensing technology, an abundance of data from engineering systems is now readily available.

The data rich environment provides great opportunities to develop new fundamental industrial engineering (IE) tools for effective fault management. Targeting on the urgent need and the emerging opportunity, the presented research has been focusing on the development of rigorous signature-driven statistical tools to model and analyze the data gathered from a vast array of diverse and interrelated sources for monitoring, fault diagnosis, and prediction purposes. Two examples, variation source identification in manufacturing processes and the critical faulty event modeling and prediction in complex medical imaging systems, are presented. The proposed methodologies can achieve systematic fault detection, root cause identification, and failure prediction and possesses wide applicability to various engineering systems.

报告人简历：

Shiyu Zhou is an assistant professor in the Department of Industrial and Systems Engineering at the University of Wisconsin-Madison. He got his B.S. and M.S. in Mechanical Engineering at University of Science and Technology of China in 1993 and 1996 respectively, and got his Master in Industrial Engineering and Ph.D. in Mechanical Engineering at the University of Michigan in 2000. Dr. Zhou’s research interests are the in-process quality and productivity improvement methodologies by integrating statistics, system and control theory, and engineering knowledge. The objective is to achieve automatic process monitoring, diagnosis, compensation, and their implementation in various manufacturing processes. His research is sponsored by National Science Foundation, Department of Energy, NIST-ATP, and industries. He is a recipient of the CAREER Award from the National Science Foundation in 2006. Dr. Zhou is a member of IIE, INFORMS, ASME, and SME.