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Multimodal Statement Networks for Organic Rankine Cycle Diagnostics – Use Case of Diagnostic Modeling

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Intelligent Systems'2014

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 322))

Abstract

The paper shows an example of application of modeling process of diagnostic knowledge with the use of multimodal statement networks. The goal is to present generic approach to modeling complex diagnostic domains by many independent experts. As an object cogeneration power plant with Organic Rankine Cycle is presented. Implementation of diagnostic model was performed using REx system that enables among other things knowledge management and the application and preliminary evaluation of diagnostic knowledge of gathered knowledge for the purpose of its further incorporation to diagnostic systems.

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References

  1. Cholewa, W.: Intuitionistic notice boards for expert systems. In: Gruca, A., Czachórski, T., Kozielski, S. (eds.) Man-Machine Interactions 3. AISC, vol. 242, pp. 337–344. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  2. Cholewa, W.: Multimodal Statements Networks for Diagnostic Applications. In: Sas, P., Bergen, B. (eds.) Proceedings of the International Conference on Noise and Virbation Engineering ISMA 2010, September 20-22, pp. 817–830. Katholique Universiteit Lueven, Lueven (2010)

    Google Scholar 

  3. Cholewa, W., Amarowicz, M., Chrzanowski, P., Rogala, T.: Development Environment for Diagnostic Multimodal Statement Networks. In: Key Engineering Materials, Smart Diagnostics V, vol. 588, pp. 74–83 (2014)

    Google Scholar 

  4. Cowell, R.G., Dawid, P.A., Lauritzen, S.L., Spiegelhalter, D.J.: Probabilistic Networks and Expert Systems. Springer, New York (2003)

    Google Scholar 

  5. Heath, L., Sioson, A.: Multimodal Networks: Structure and Operations. IEEE/ACM Trans. Computational Biology and Bioninformatics 6(2), 321–332 (2009)

    Article  Google Scholar 

  6. Nielsen, T.D., Jensen, F.V.: Bayesian Networks and Decision Graphs. Springer, Berlin (1997)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Institute of Fundamentals of Machinery Design, Silesian University of Technology, Konarskiego 18A, Gliwice, Poland

    Tomasz Rogala & Marcin Amarowicz

Authors
  1. Tomasz Rogala
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  2. Marcin Amarowicz
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Corresponding author

Correspondence to Tomasz Rogala .

Editor information

Editors and Affiliations

  1. School of Computing and Communications, Lancaster University, Lancaster, United Kingdom

    P. Angelov

  2. Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    K.T. Atanassov

  3. Intelligent Systems Department, Bulgarian Academy of Sciences Inst. of Infor. & Communication Techn., Sofia, Bulgaria

    L. Doukovska

  4. Metalurgy, University of Chemical Technology and, Sofia, Bulgaria

    M. Hadjiski

  5. University of Library Studies and IT (ULSIT), Sofia, Bulgaria

    V. Jotsov

  6. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    J. Kacprzyk

  7. Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland, New Zealand

    N. Kasabov

  8. Intelligent Systems Laboratory, Prof. Assen Zlatarov University Faculty of Technical Sciences, Bourgas, Bulgaria

    S. Sotirov

  9. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    E. Szmidt

  10. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    S. Zadrożny

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© 2015 Springer International Publishing Switzerland

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Rogala, T., Amarowicz, M. (2015). Multimodal Statement Networks for Organic Rankine Cycle Diagnostics – Use Case of Diagnostic Modeling. In: Angelov, P., et al. Intelligent Systems'2014. Advances in Intelligent Systems and Computing, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-11313-5_53

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  • DOI: https://doi.org/10.1007/978-3-319-11313-5_53

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11312-8

  • Online ISBN: 978-3-319-11313-5

  • eBook Packages: EngineeringEngineering (R0)

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