Stricter performance requirements, increased response speeds, and rising maintenance costs in modern machine/vehicle/power systems require new paradigms in integrated real-time systems monitoring, diagnostics, prognostics, and automated maintenance scheduling. Included are lean industrial systems, integrated energy-efficient automotive systems, dynamic power generation and load management, and high performance aerospace systems. Systems performance can be significantly improved and useful lifetimes significantly extended through modern Condition-Based Maintenance methods. CBM is based on advanced sensing methods and decision-making techniques that improve reliability and reduce maintenance costs for modern engineered systems.
In this talk we provide a background in Intelligent Diagnosis and Prognosis Prognostics that uses an integrated systems approach to provide monitoring, diagnostics, and prognostics techniques that have the potential to guarantee enhanced system performance, increased equipment lifetimes, and reduced down-time.
About the Speaker
Dr Lewis is a Professor of Electrical Engineering at The University of Texas at Arlington, where he was awarded the Moncrief-O'Donnell Endowed Chair in 1990 at the Automation & Robotics Research Institute. Fellow of the IEEE, Fellow of IFAC, Fellow of the UK Institute of Measurement & Control, Member of the New York Academy of Sciences. Registered Professional Engineer in the State of Texas and Chartered Engineer, U.K. Engineering Council. Charter Member (2004) of the UTA Academy of Distinguished Scholars and Senior Research Fellow of the Automation & Robotics Research Institute. Has served as Visiting Professor at Democritus University in Greece, Hong Kong University of Science and Technology, Chinese University of Hong Kong, National University of Singapore. Elected Guest Consulting Professor at both Shanghai Jiao Tong University and South China University of Technology.
Born in Würzburg, Germany, Dr Lewis received his Bachelor's Degree in Physics/Electrical Engineering and the Master's of Electrical Engineering Degree from Rice University in 1971. He spent six years in the U.S. Navy, serving as Navigator aboard the frigate USS Trippe (FF-1075), and Executive Officer and Acting Commanding Officer aboard USS Salinan (ATF-161). In 1977 he received the Master's of Science in Aeronautical Engineering from the University of West Florida. In 1981 he obtained the Ph.D. degree at The Georgia Institute of Technology in Atlanta, where he was employed as a professor from 1981 to 1990 and is currently an Adjunct Professor.
His current interests include intelligent control, neural and fuzzy systems, wireless sensor networks, nonlinear systems, robotics, condition-based maintenance, micro-electro-mechanical systems (MEMS) control, and manufacturing process control. Author of 5 U.S. patents, 184 journal papers, 34 chapters and encyclopedia articles, 306 refereed conference papers, and 12 books including Optimal Control, Optimal Estimation, Applied Optimal Control and Estimation, Aircraft Control and Simulation, Control of Robot Manipulators, Neural Network Control, High-Level Feedback Control with Neural Networks and the IEEE reprint volume Robot Control. He is the Editor of numerous publications, including Taylor & Francis Book Series on Automation & Control Engineering. He also serves on many Editorial Boards including International Journal of Control, Neural Computing and Applications, Optimal Control & Methods, and Int. J. Intelligent Control Systems. He was the Editor for the flagship journal Automatica. Recipient of NSF Research Initiation Grant and continuously funded by NSF since 1982.
Since 1991 he has received $6 million in funding from NSF, ARO and other government agencies, including significant DoD SBIR and industry funding. His SBIR program was instrumental in ARRI’s receipt of the US SBA Tibbets Award in 1996. Received Fulbright Research Award, American Society of Engineering Education F.E. Terman Award, three Sigma Xi Research Awards, UTA Halliburton Engineering Research Award, UTA Distinguished Research Award, ARRI Patent Awards, various Best Paper Awards, IEEE Control Systems Society Best Chapter Award (as Founding Chairman of DFW Chapter), and National Sigma Xi Award for Outstanding Chapter (as President of UTA Chapter). He received numerous accolades including the outstanding Service Award from the Dallas IEEE Section and selected as Engineer of the year by Ft. Worth IEEE Section. Listed in Ft. Worth Business Press Top 200 Leaders in Manufacturing. Appointed to NAE Committee on Space Station in 1995 and IEEE Control Systems Society Board of Governors in 1996. Selected in 1998 as an IEEE Control Systems Society Distinguished Lecturer. Founding Member of the Board of Governors of the Mediterranean Control Association.
Who should Attend
Industry professionals, R&D managers, researchers, engineers, professors and students.
Registration for the lecture is free of charge. Seats are available on a first-come, first-served basis. All are welcome.
For technical enquiries, please contact
Dr Luo Ming, Research Scientist, Email: mluo@SIMTech.a-star.edu.sg
For registration and general enquiries, please contact
Alice Koh, Email: alicekoh@SIMTech.a-star.edu.sg