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Preparing the Aid System for Industrial Network Oriented Diagnostics

  • Piotr MichalskiEmail author
  • Mariusz Piotr Hetmańczyk
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 354)

Abstract

The new proposal of the preparing the aid system for industrial network diagnostic has been described in this article. New method, based on aggregation process of subjective marks of reasoning rules from independent experts, which gives back a more objective parameters for faster computing of the reasoning process, has been implemented. Thanks to this the malfunctions of the industrial network can be reduced to minimum and much faster eliminate. As an example the diagnostic process of the AS-interface industrial network has been described. Significant time reduction has been reached.

Keywords

judgment process knowledge acquisition knowledge discovery operator of aggregation industrial network diagnostic AS-interface 

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References

  1. 1.
    Bauder, F., Christiani, P., Grudke, D., Hopp, H.: AS-Interface Safety at Work. Safety in Automation, introduction and application examples. AS-Internaional Association, Medien GmbH, Schweinfurt (2004)Google Scholar
  2. 2.
    Becker, R.: Intelligence in the network. The info guide for new and experienced users. AS-Internaional Association, Gelnausen (2000)Google Scholar
  3. 3.
    Becker, R., Müller, B., Schiff, A., Schinke, T., Walker, H.: AS-Interface The automation Solution. A compilation of a technology, funcionality and applications. AS-Internaional Association, WEPPERT GmbH & Co., Schweinfurt (2002)Google Scholar
  4. 4.
    Bryant, M.: US Brochure – Technical Overview. AS-Interface Trade Organization USA, Scottsdale (2010)Google Scholar
  5. 5.
    CEDES AG.: Safety and automation. Landquart (2005)Google Scholar
  6. 6.
    Dolderer, P., Teichmann, R., Padelt, M.: EMC The easy way - Pocket Guide. ZVEI, Frakfurt (2004)Google Scholar
  7. 7.
    Kriesel, W., Madelung, O., Werner, R.: AS_Interface The Actuator-Sensor Interface for Automation. Hanser, Wien (1999)Google Scholar
  8. 8.
    Kriesel, W., Madelung, O., Werner, R.: AS_Interface The Actuator-Sensor Interface for Automation. Supplement 2nd edn. Hanser, Wien (2002) Google Scholar
  9. 9.
    Madelung, O.: AS-Interface in Real-Time Environment. Real-Time Magazine 4, 88–90 (1997)Google Scholar
  10. 10.
    Moczulski, W.: Metody pozyskiwania wiedzy dla potrzeb diagnostyki maszyn. ZN Pol. Śląskiej nr 1382, Mechanika, z. 130, Gliwice (1997) (in Polish) Google Scholar
  11. 11.
    Moczulski, W.: Diagnostyka techniczna. Metody pozyskiwania wiedzy. Politechnika Śląska, Gliwice (2002)Google Scholar
  12. 12.
    Michalski, P., Hetmańczyk, M.P., Świder, J.: Simply-integrated method of judgments of expert knowledge collected in databases for objective computer-aided engineering systems. In: Pan, J.-S., Polycarpou, M.M., Woźniak, M., de Carvalho, A.C.P.L.F., Quintián, H., Corchado, E. (eds.) HAIS 2013. LNCS, vol. 8073, pp. 262–268. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  13. 13.
    Zolkiewski, S.: Numerical Application for Dynamic Analysis of Rod and Beam Systems in Transportation. Solid State Phenomena 164, 343–348 (2010)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Faculty of Mechanical Engineering, Institute of Engineering Processes Automation and Integrated Manufacturing SystemsThe Silesian University of TechnologyGliwicePoland

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