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Using REx environment in dynamic diagnostics of ORC power station

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Konferencja
International Symposium on Compressor & Turbine Flow Systems Theory & Application Areas "SYMKOM" (11 ; 20-23.10.2014 ; Łódź, Polska)
Języki publikacji
EN
Abstrakty
EN
In the Institute of Fundamentals of Machinery Design is developed a development environment REx, which is dedicated for designing and testing diagnostic expert systems for complex technical objects. The REx environment allows to design, test and use a multilayer statement networks. Paper presents an example of using REx environment for diagnose state of some objects of ORC power station. Results of the inference process of the expert system that are very interesting for the operator are presented in a special application. In this application are presented values of statements and how there are changed during the time.
Twórcy
autor
  • Silesian University of Technology, Institute of Fundamentals of Machine Design, Konarskiego 18A Str., 44-100 Gliwice, Poland
autor
  • Silesian University of Technology, Institute of Fundamentals of Machine Design, Konarskiego 18A Str., 44-100 Gliwice, Poland
autor
  • Silesian University of Technology, Institute of Fundamentals of Machine Design, Konarskiego 18A Str., 44-100 Gliwice, Poland
autor
  • Silesian University of Technology, Institute of Fundamentals of Machine Design, Konarskiego 18A Str., 44-100 Gliwice, Poland
Bibliografia
  • [1] Korbicz J., Kościelny J.M., Kowalczuk Z., Cholewa W. (eds.), Fault diagnosis: Models, Artificial Intelligence, Applications. Springer, Heidelberg (2004)
  • [2] Cholewa W., Rogala T., Chrzanowski P., Amarowicz M., Statement Networks Development Environment Rex, In Lecture Notes in Computer Science, 6923, Part II, Computational Collective – Intelligence Technologies and Applications. Proceedings of 3rd International Conference on Computational Collective Intelligence - Technologies and Applications. Gdynia, Poland, 2011 September 21-23, pp 30-39
  • [3] Dawid F., Cowell R., Lauritzen S., Spiegelhalter D.: Probabilistic Networks and Expert Systems. Springer, New York (2007)
  • [4] Giarratano J.C., Riley G.D., Expert systems: principles and programming. Thomson Course Technology, (2005)
  • [5] Castillo E., Gutiâerrez J.M., Hadi A.S., Expert systems and probabilistic network models. Monographs in Computer Science Series. Springer Verlag, (1997)
  • [6] Cholewa W., Rogala T., Chrzanowski P., Amarowicz M., Development environment for diagnostic multimodal statement networks, 5th International Congress on Technical Diagnostics. Diagnostics'2012, Kraków, Poland, 3rd - 5th September 2012. Abstracts. [B.m.] : [b.w.], 2012, pp. 30-31
  • [7] Cholewa, W., Amarowicz, M., Chrzanowski, P. and Rogala, T.: Development environment for diagnostic multimodal statement networks . Key Engineering Materials, Smart Diagnostics V, 588:74-83, (2014)
  • [8] System DT200-1. Online: http://ipkm.polsl.pl/PROJEKTY/SystemDT200-1/default.htm. November 2013
  • [9] Psiuk K., Cholewa W.: State visualization of complex technical objects. IV Krajowa Konferencja Naukowo-Techniczna Diagnostyka Procesów Przemysłowych, 13-16 wrzesnia 1999, Kazimierz Dolny, Poland.
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-9810dd5b-9da4-4088-b55b-799d074045ec
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