Józef Król President National Chamber of Statutory Auditors, Poland
Institute of Control and Computation Engineering Soft Computing in Fault Detection and Isolation...
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Institute of Control andComputation Engineering
Soft Computing in Fault Detection and Isolation
Józef Korbicz Marcin Witczak
Institute of Control and Computation Engineering University of Zielona Góra, Poland
E-mails: [email protected] [email protected]
http://www.issi.uz.zgora.pl
Institute of Control andComputation Engineering
University of Zielona Góra
Three Schools
• School of Arts, Humanities and Social Sciences• School of Sciences and Economics
254 professors, 390 doctors and 24000 students
• School of Engineering
Institute of Control andComputation Engineering
Structure
• Information Systems Division
• Systems Analysis and Intelligent Computation Division
• Telecomunication and Computer Security
• Editorial Office of the International Journal of Applied Mathematics and Computer
Science
Institute of Control and Computation EngineeringDirector: Prof. Józef Korbicz
Institute of Control andComputation Engineering
Research ActivityComputational intelligence and evolutionary computations
Leader: Prof. J.Korbicz• neural networks, neuro-fuzzy systems• structure and parameter optimization• evolutionary computationsTechnical diagnostics
Leader: Prof. J.Korbicz• analytical methods: mathematical modelling, observers• artificial intelligence• applications: sugar industry, power plants
Virtual environments and multimedia Leader: Dr S.Nikiel
• computer graphics• visualization• virtual environments and multimedia
Institute of Control andComputation Engineering
Research Activity (cont.)
Multidimensional (2n-DN) systems and repetitive processes
Leader: Prof. K.Gałkowski• modelling, analysis and synthesis• control• applications
Distributed parameter systems – theory and applications
Leader: Prof. D.Uciński• parameter estimation• movable sensors• physical process simulation
Institute of Control andComputation Engineering
Research projects (selected)
• 5th Framework Programme project on Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems, DAMADICS, 2000-2003. Coordinator: Prof. Ron J. Patton, University of Hull, U.K. Group and task leader: Prof. J. Korbicz, University of Zielona Góra
• The Polish–British Research Partnership Programme on Optimum experimental design for multivariate nonlinear models, 2002-2005. Coordinators: Prof. D.Uciński, University of Zielona Góra and Dr B.Bogacka, University of London
• POLONIUM (French-Polish programme) projects on Modelling and analysis of environmental processes using cellular automata. 2001-2002. Coordinators: Prof. A.El Jai, University of Perpignan and Prof. D.Uciński, University of Zielona Góra
• Integration of Quantitative and Qualitative Fault Diagnosis Methods within the Framework of Industrial Application, INCO COPERNICUS IQ2FD Project, 1998-2000. Group leader: Prof. J. Korbicz, University of Zielona Góra
Institute of Control andComputation Engineering
Research laboratories
• Laboratory of Computer Graphics and Multimedia
• Laboratory of Modern Control Systems and Optimization
• Laboratory of Software Engineering and Intelligent Computations
• Laboratory of the Foundations of Computer Science
• Local CISCO Academy Laboratory
Institute of Control andComputation Engineering
Organization of conferences (selected)
• 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2006, Beijing, China, 2006
• National Conference on Automatic Control, KKA’02, Zielona Góra, Poland, 2002
• National Conference on Diagnostics of Industrial Processes, DPP’97, DPP’2001, Łagów Lubuski, Poland, 1997 and 2001
• International Symposium of Mathematical Theory of Networks and Systems, MTNS 2000, Perpignan, France, 2000
• Polish-German Symposium on Science Research Education, SRE 2000, Zielona Góra, Poland 2000
Institute of Control andComputation Engineering
Soft Computing in Fault Detection and Isolation
• Principles of modern fault diagnosis
• Artificial neural networks in fault diagnosis
• Evolutionary algorithms in fault diagnosis
• Fuzzy and neuro-fuzzy systems in fault diagnosis
• Case studies – industrial applications
Outline