Automated health monitoring and fault diagnosis in complex dynamical systems-- theory and applications

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The proposed research is concerned with the study of fundamental research problems that would pave the way for designing the next generation of engineering systems that integrate conventional control system design with Fault Detection, Isolation, Estimation, and Accommodation (FDIEA) objectives, thus enabling the system to function for extended periods of time, safely, efficiently, with more autonomy, and less interruption in service. FDIEA problem is of crucial importance in safety and mission critical domains such as space and aerospace applications. In certain other domains, such as chemical/petrochemical, manufacturing, power and communication networks, safety to some extent, but mainly economics is the main motivation for having such capabilities.  Yet environmental concerns and the desire for fuel efficiency drive the governments requirement for new vehicles to have On-Board engine Diagnostics capabilities (OBD II).I have an established and mature research program that I run in the Diagnostics and Control (DCL) lab at SFU. Over the years, many highly qualified research personnel have been trained in this lab. We have worked with government organizations, as well as various industries such as NASA Lewis (now Glenn), NASA Ames Research Labs, Canadian Space Agency (CSA), GM Research Lab, Imperial Oil Ltd., BC Hydro, PowerTech Labs,  among others, on real world engineering applications. My greatest and most noteworthy practical contribution came to fruition in 2004, when the model based engine diagnostic strategy that I initiated over 1993-1994, and worked with GM researchers for a number of years after, was finally rolled into production. Despite our success in technology transfer, many challenging and open research problems remain to be addressed. This proposal is about some of the fundamental unresolved research problems in model based fault diagnosis.