Fault Diagnosis and Prognosis Techniques for Complex Engineering Systems

Dr. Karimi received the B.Sc. (First Hons.) degree in power systems from the Sharif University of Technology, Tehran, Iran, in 1998, and the M.Sc. and Ph.D. (First Hons.) degrees in control systems engineering from the University of Tehran, Tehran, in 2001 and 2005, respectively. His research interests are in the areas of control systems/theory, mechatronics, networked control systems, intelligent control systems, signal processing, vibration control, ground vehicles, structural control, wind turbine control and cutting processes. He is an Editorial Board Member for some international journals and several Technical Committee. Prof. Karimi has been presented a number of national and international awards, including Alexander-von-Humboldt Research Fellowship Award (in Germany), JSPS Research Award (in Japan), DAAD Research Award (in Germany), August-Wilhelm-Scheer Award (in Germany) and been invited as visiting professor at a number of universities in Germany, France, Italy, Poland, Spain, China, Korea, Japan, India.

• Section A: Fault diagnosis development1. Model-based fault detection and isolation for dynamical systems2. Fault-tolerant control for dynamical systems3. Data-driven techniques in fault diagnosis4. Soft computing methods for fault detection and isolationSection B: Failure prognosis analysis 5. Model-Based failure prognosis techniques6. Data-driven based reliability modeling and identification for failure prognosis7. Intelligent decisions techniques for failure prognosis8. Design optimization using reliability and maintenance TechniquesSection C: Case studies9. Fault diagnosis and failure prognosis in mechanical systems10. Fault diagnosis and failure prognosis in electrical systems11. Fault diagnosis and failure prognosis in hydraulic systems12. Fault diagnosis and failure prognosis in biomedical systems

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