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Soft Computing in Fault Detection and Isolation

Soft Computing in Fault Detection and Isolation. Józef Korbicz Marcin Witczak Institute of Control and Computation Engineering University of Zielona Góra, Poland E-mails: J.Korbicz@issi.uz.zgora.pl M.Witczak@issi.uz.zgora.pl. http://www.issi.uz.zgora.pl. • School of Engineering.

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Soft Computing in Fault Detection and Isolation

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  1. Soft Computing in Fault Detectionand Isolation Józef Korbicz Marcin Witczak Institute of Control and Computation Engineering University of Zielona Góra, Poland E-mails: J.Korbicz@issi.uz.zgora.pl M.Witczak@issi.uz.zgora.pl http://www.issi.uz.zgora.pl

  2. • School of Engineering • School of Sciences and Economics • School of Arts, Humanities and Social Sciences University of Zielona Góra Three Schools 254 professors, 390 doctors and 24000 students

  3. Institute of Control and Computation Engineering Director: Prof. Józef Korbicz Structure • Systems Analysis and Intelligent Computation Division • Information Systems Division •Telecomunication and Computer Security • Editorial Office of theInternationalJournal of Applied Mathematics and Computer Science

  4. Research Activity • Computational intelligence and evolutionary computations • Leader:Prof. J.Korbicz • neural networks, neuro-fuzzy systems • structure and parameter optimization • evolutionary computations • Technical diagnostics • Leader:Prof. J.Korbicz • analytical methods: mathematical modelling, observers • artificial intelligence • applications: sugar industry, power plants • Virtual environments and multimedia • Leader:DrS.Nikiel • computer graphics • visualization • virtual environments and multimedia

  5. 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

  6. Research projects (selected) • The Polish–British Research Partnership Programme onOptimum experimental • design for multivariate nonlinear models, 2002-2005. • Coordinators:Prof. D.Uciński, University of Zielona Góra and Dr B.Bogacka, • University ofLondon • 5th Framework Programme project onDevelopment 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 • POLONIUM (French-Polish programme) projects onModelling and analysis of • environmental processes using cellular automata. 2001-2002.Coordinators: Prof. A.El Jai, University of Perpignan andProf. 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

  7. 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

  8. 2004 2005 2002 2004 Institute’s books

  9. Organization of conferences (selected) • 6th IFAC Symposium on Fault Detection, Supervision and Safety of • Technical Processes,SAFEPROCESS 2006, Beijing, China, 2006 • National Conference onAutomatic Control, KKA’02, Zielona Góra, • Poland, 2002 • National Conference onDiagnostics of Industrial Processes, DPP’97, • DPP’2001, Łagów Lubuski, Poland, 1997 and 2001 • International Symposium ofMathematical Theory of Networks and • Systems, MTNS 2000, Perpignan, France, 2000 • Polish-German Symposium onScience Research Education, SRE 2000, • Zielona Góra, Poland 2000

  10. Soft Computing in Fault Detectionand Isolation Outline • 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

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