Technology Lecture: A Paradigm Shift in Manufacturing System Health Management: From Traditional Practices to Condition Based Maintenance
Date: 12 Apr 2011 - 12 Apr 2011
Venue: SIMTech Auditorium, Tower Block, Level 3
This presentation is designed to cover the fundamentals of an emerging paradigm shift for equipment safety, reliability and maintainability from the traditional practices to Prognostics and Health Management (PHM) and Condition Based Maintenance (CBM). Participants will gain a better understanding of the history, benefits and challenges of PHM and CBM. The focus is on the current state-of-the art in terms of rigorous and verifiable technologies for monitoring, data mining, fault diagnosis and failure prognosis of the Remaining Useful Life (RUL) of failing components/systems. The emphasis is on manufacturing processes but generic aspects applicable to industrial systems, aerospace will also be highlighted. An integrated architecture and the development/implementation of its constituent modules are presented. Such enabling technologies as Bayesian estimation methods, feedback correction loops, and uncertainty management methods are highlighted. Some examples from typical manufacturing systems/components to illustrate the efficacy and utility of these techniques will be discussed. New research thrusts in fault-tolerant control with prognostic information will be briefly introduced. The presentation will conclude with a look at future developments in this area.
This event is co-organised by SIMTech and IEEE Robotics & Automation Singapore Chapter.
3.00pm: Welcome & Introduction
3.05pm: Presentation by Professor George Vachtsevanos
4.00pm: Networking & Refreshment
4.30pm: End of Seminar
About the Speaker
Dr Vachtsevanos directs the Intelligent Control Systems Laboratory at Georgia Tech where faculty and students are conducting interdisciplinary research in intelligent control, fault diagnosis and failure prognosis of complex dynamical systems with emphasis on rotorcraft, and hierarchical/intelligent control of Unmanned Aerial Vehicles. His work in Unmanned Aerial Vehicles dates back to 1994 with major projects funded by the U.S. Army and DARPA. He has served as the Co-PI for DARPA's Software Enabled Control program over the past six years and directed the development and flight testing of novel fault-tolerant control algorithms for Unmanned Aerial Vehicles. He is currently representing Georgia Tech at DARPA's HURT program where multiple UAVs are performing surveillance, reconnaissance, and tracking missions in an urban environment. Under Army Research Office sponsorship, his research team is developing game theoretic notions for adversarial reasoning. His research in fault diagnosis and prognosis for Condition Based Maintenance began in 1984 with innovative fault detection and control technologies for the space station program. Under Office of Naval Research (ONR) sponsorship, he developed fault detection and fault-tolerant control systems for a turbojet engine. Jointly with Honeywell, he designed diagnostic and prognostic algorithms for shipboard machinery under ONR sponsorship. More recently, he has been an active participant in DARPA's Prognosis Program, the Aging Aircraft Program, an Advanced Diagnostics Program for U.S. Army vehicles, a U.S. Navy program on Prognostic Enhancements to Diagnostic Systems, an Air Force Space Command Program for CBM Design of Ground Satellite Stations, and other industrial programs. He administers at Georgia Tech and on-site an intensive 4-day short course on "Fault Diagnosis and Prognosis for Engineering Systems." He has published over 250 technical papers and is the recipient of the 2002-2003 Georgia Tech School of ECE Distinguished Professor Award and the 2003-2004 Georgia Institute of Technology Outstanding Interdisciplinary Activities Award. He is the lead author of the book, Intelligent Fault Diagnosis and Prognosis for Engineering Systems, published by Wiley in 2006.
Who Should Attend
Senior Management staff, R&D engineers and researchers, academic staff and engineering students.
Registration for the lecture is free of charge. Seats are available on a first-come, first-served basis. To reserve a place, please register online.
Technical enquiries: Dr Tung Le, Email: tle@SIMTech.a-star.edu.sg; Tel: 6793 8335;
Ms Zhou Junhong, Email: jzhou@SIMTech.a-star.edu.sg; Tel: 6793 8289
Seminar enquiries: Alice Koh, Email:email@example.com, Tel: 6793 8249