Fault Diagnosis and Prognosis Technologies for Complex Engineered Systems
Date: 07 Sep 2005 - 07 Sep 2005
Venue: Auditorium, Tower Block, SIMTech, 71 Nanyang Drive
This presentation will address some fundamental technologies used to implement Condition Based Maintenance practices. We will introduce concepts from systems theory, and specifically how we determine failure modes, their symptoms and associated sensor/sensing requirements. Trade Studies, Failure Modes and Effects, Criticality Analysis and Validation/Verification methods constitute basic building blocks for diagnosis and prognosis. Data driven and model based reasoning tools for fault diagnosis and prognosis will be discussed with emphasis on an integrated CBM architecture that combines elements from sensor signal processing, feature extraction and diagnosis/prognosis algorithms. We will suggest means to exploit similar technologies for electrical/electronic systems and employ examples to illustrate the practical utility of these technologies.
About George Vachtsevanos
Dr Vachtsevanos serves as Professor of Electrical and Computer Engineering and directs the Intelligent Control Systems laboratory at Georgia Tech where faculty and students are conducting interdisciplinary research in intelligent control, hierarchical/intelligent control of Unmanned Aerial Vehicles, fault diagnosis and prognosis of complex dynamical systems, vision-based inspection and control of industrial processes and the application of novel signal and imaging methods to neurotechnology related research. His work in Unmanned Aerial Vehicles dates back to 1994 with major projects funded by the U.S. Army and DARPA. He is currently the Co-PI of the Georgia Techs effort in the Software Enabled Control program funded by DARPA. His research activities in fault diagnosis and prognosis for Condition Based Maintenance began in 1984 with innovative fault detection and control technologies for the space station program. The intelligent control effort for major industrial processes was initiated in the late 1980s and has been supported by government and industry. The neurotechnology research, jointly conducted with neurologists, began in 1991 and is leading to the development of implantable devices to detect, predict and stop epileptic seizures. Dr Vachtsevanos has published over 250 technical papers in his area of expertise and serves as a consultant to government agencies and industry. Dr Vachtsevanos is the recipient of the 2002-2003 Georgia Tech School of Electrical and Computer Engineering Distinguished Professor Award given to the most outstanding overall faculty member and the 2003-2004 Georgia Institute of Technology Outstanding Interdisciplinary Activities Award.
Who Should Attend
CEOs, CTOs, VPs, MDs, EDs , managers, engineers, executives, officers & technologists from the manufacturing, precision machining, process, warehouse, complex facilities etc.
Free admission. All are welcome.
To register, please email your details (Name, Organisation name, Contact No) to eventsPostmaster@SIMTech.a-star.edu.sg