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International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems

IEA/AIE 2000: Intelligent Problem Solving. Methodologies and Approaches pp 184–191Cite as

Application of a Real-Time Expert System for Fault Diagnosis

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1821))

Abstract

Fault diagnosis is an increasing important research topic and a lot of approaches have been investigating for the intelligent on-line diagnostic task. This work demonstrates the implementation of real-time expert systems technology for diagnostic purposes in hydraulic systems. A knowledge-based system is developed that in combination with sensor measurements is able to diagnose real-time faults. The system was developed in collaboration with a company which specialises in hydraulic systems and is used for industrial automated processes.

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References

  1. Frank, P.: Fault Diagnosis in Dynamic Systems Using Analytical and Knowledgebased Redundancy-A Survey and Some New Results. Automatica Vol. 26, (1990), 459–474

    Article  MATH  Google Scholar 

  2. Basseville, M., Nikiforov, I.: Detection of Abrupt Changes: Theory and Application, Prentice Hall (1993)

    Google Scholar 

  3. Patton, R., Frank, P., Clark, R.: Fault diagnosis in dynamic systems, Theory and application, Prentice Hall (1989)

    Google Scholar 

  4. Surgenor, B., Jofriet P.: Thermal fault analysis and the diagnostic model processor. In IFAC symposium, On-line fault detection and supervision in the chemical process industries, Eds. Dhurjati P. and G. Stephanopoulos. No.1, Pergamon Press (1993)

    Google Scholar 

  5. Rengaswamy, R., Venkatasubramanian, V.: An integrated framework for process monitoring, diagnosis, and control using knowledge-based systems and neural networks. In IFAC symposium, On-line fault detection and supervision in the chemical process industries, Eds. Dhurjati P. and G. Stephanopoulos. No.1, Pergamon Press (1993)

    Google Scholar 

  6. Kordon, A., and Dhurjati, P.: An expert system for crude unit process supervision. IFAC International federation of automatic control. On-line fault detection and supervision in the chemical process industries. Eds. Morris A. and E. Martin, Pergamon (1996)

    Google Scholar 

  7. Harris T., Seppala C., Jofriet P., Surgenor, B.: Plant-wide feedback control performance assessment using an expert system framework. On-line fault detection and supervision in the chemical process industries. Eds. Morris A. and E. Martin, Pergamon (1996)

    Google Scholar 

  8. Heiming, B., and Lunze, J.: Parallel Knowledge-Based Process Diagnosis Applied to a Local Power Station Plant, In IFAC Symposium, Fault Detection, Supervision and Safety for Technical Processes, Kingston Upon Hull, UK, (1998) 1113–1118

    Google Scholar 

  9. Norvilas, A., Negiz, A., DeCicco, J., Cinar, A. Intelligent Process Monitoring by Interfacing Knowledge-Based Systems and Multivariate SPC Tools, In IFAC Symposium, Fault Detection, Supervision and Safety for Technical Processes, Kingston Upon Hull, UK, (1998) 43–48

    Google Scholar 

  10. Li, I.S., Kwok, K., Zurcher, J.: Prediction and Prevention of Sheetbreak Using PLS and an Expert System, In IFAC Symposium, Fault Detection, Supervision and Safety for Technical Processes, Kingston Upon Hull, UK, (1998) 1159–1164

    Google Scholar 

  11. Weule, H., Noe, T.: Expertensysteme: Stand der Technik und Einsatzmoeglichkeiten in der Hydraulik o+p “Oelhydraulik und Pneumatik” 33 Nr. 6. (1989)

    Google Scholar 

  12. Angeli, C., and Chatzinikolaou, A.: An expert system approach to hydraulic systems. Expert Systems, Vol. 12. (1995)

    Google Scholar 

  13. Tzafestas, S.: System Fault Diagnosis Using the Knowledge-Based Methodology, Eds. Patton R., Frank, P. and Clark, R. Fault diagnosis in dynamic systems, Theory and application, Prentice Hall. (1989)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Technological Education Institute of Piraeus, Konstantinoupoleos 38, 171 21, Athens, Greece

    Chr. Angeli

Authors
  1. Chr. Angeli
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Editor information

Editors and Affiliations

  1. The Center for Advanced Computer Studies, University of Lousiana, 2 Rex Street, Lafayette, LA, 70504-4330, USA

    Rasiah Logananthara

  2. Department of Neural Information Processing, University of Ulm, Oberer Eselsberg, 89069, Ulm, Germany

    Günther Palm

  3. Department of Computer Science, Southwest Texas State University, 601 University Drive, San Marcos, TX, 78666-4616, USA

    Moonis Ali

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© 2000 Springer-Verlag Berlin Heidelberg

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Angeli, C. (2000). Application of a Real-Time Expert System for Fault Diagnosis. In: Logananthara, R., Palm, G., Ali, M. (eds) Intelligent Problem Solving. Methodologies and Approaches. IEA/AIE 2000. Lecture Notes in Computer Science(), vol 1821. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45049-1_22

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  • DOI: https://doi.org/10.1007/3-540-45049-1_22

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67689-8

  • Online ISBN: 978-3-540-45049-8

  • eBook Packages: Springer Book Archive

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