Transcript

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

Institute’s books

2004

2005

2002

2004

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