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Data-Driven Modeling for Analysis, Fault Detection, Optimization and Control of Dynamic Systems

发布日期:2019-04-15    作者:     来源:     点击:

目:Data-Driven Modeling for Analysis, Fault Detection, Optimization and Control of Dynamic Systems

报告人:孙建桥 教授

        美国加州大学默塞德分校工程学院

间:2019416日(周二)下午14:30

点:国家脉冲强磁场科学中心B206


报告摘要:

In this talk, we review efforts of the past few decades in developing mathematical models for analysis, fault detection, optimization and control of various civil, mechanical and biological systems. Examples with “small” number of data are first discussed. These include the data driven modeling of acoustic materials, fatigue life prediction of metallic structures, modeling, fault detection and control of HVAC systems in office buildings, and surgical outcome prediction. The methods for data-driven research are discussed including statistical analysis, principal component analysis, correlation analysis and neural networks. We then discuss the implications of the availability of “big” data. We then review the recent advances of methods in artificial intelligence, and discuss their potentials and challenges for applications to civil and mechanical systems operating in complex environment. An example of our preliminary study of fault detection of rotor dynamic systems with deep learning is then presented to conclude the talk. It is hoped that this talk will stimulate the interests in artificial intelligence and its application to traditional engineering disciplines.


报告人简介:

Dr. Jian-Qiao Sun earned a BS degree in Solid Mechanics from Huazhong University of Science and Technology in Wuhan, China in 1982, a MS and a PhD in Mechanical Engineering from University of California at Berkeley in 1984 and 1988. He worked for Lord Corporation at their Corporate R&D Center in Cary, North Carolina. In 1994, Dr. Sun joined the faculty in the department of Mechanical Engineering at the University of Delaware as an Assistant Professor, was promoted to Associate Professor in 1998 and to Professor in 2003. He joined University of California at Merced in 2007, and is currently a professor and chair of the department of Mechanical Engineering in School of Engineering. He was elected to be a Qian-Ren-Ji-Hua scholar in the fourth cycle with Tianjin University. Besides many other editorial experiences, he is the Editor-in-Chief of International Journal of Dynamics and Control published by Springer. His research interests include stochastic non-linear dynamics and control, cell mapping methods, multi-objective optimization, high-density piezoelectric energy harvesting from highway traffic and data-driven energy management of office building HVAC systems.


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