Soft computing in fault detection and isolation
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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. • School of Engineering.

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Soft Computing in Fault Detection and Isolation

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Soft Computing in Fault Detectionand 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


• 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


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


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


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


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


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


2004

2005

2002

2004

Institute’s books


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


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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