Classification of elements in the diagnostic model of a technical object for building an expert knowledge base

  • Stanisław Duer Faculty of Mechanical Engineering ,Department of Energy Engineering , Koszalin University of Technology, 15-17 Raclawicka St., 75-620 Koszalin, Poland
  • Laszlo Pokoradi Faculty of Mechanical and Safety Engineering, Institute of Mechatronics and Vehicle Engineering, Óbuda University, Budapest, H-1081 Budapest, Népszinház u. 8
  • Dariusz Bernatowicz Faculty of Electronics and Informatics, Department of Informatics, Koszalin University of Technology, 2 Śniadeckich St., 75-453 Koszalin, Poland
  • Radosław Duer Faculty of Electronics and Informatics, Department of Informatics, Koszalin University of Technology, 2 Śniadeckich St., 75-453 Koszalin, Poland
Keywords: expert systems, diagnostic systems, expert knowledge base, technical dignostic, algorithm, artificial intelligence

Abstract

The following paper presents the problem of classification (identification) elements in the internal structure of a technical object. This problem is directly linked with diagnostics and compilation of an expert data base. The basis of a process of grouping elements into classes is to make a diagnostic model of a given object in a form of a structure or set of basic elements of an object. In order to conduct the grouping of elements into subsets of s-th classes, the following paper compiles and presents analytical formulas and classification rules. Theoretical considerations presented in this paper are also verified using an engine control system as an example of a complex technical object.

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Author Biographies

Stanisław Duer, Faculty of Mechanical Engineering ,Department of Energy Engineering , Koszalin University of Technology, 15-17 Raclawicka St., 75-620 Koszalin, Poland

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Stanisław Duer was born in Latyczyn, Poland. He received the B.Sc. and M.Sc. degrees in electrical engineering from Military University of Technology, Warsaw, Poland. In 2003 he defended the Ph.D. thesis on technical diagnostic and received a PhD degree from Faculty of Mechatronics, Military University of Technology in Warsaw. Since 2003, he has been an Assistant Professor with the Electrical Engineering in Department of Energy Engineering, Faculty of Mechanics, Koszalin University of Technologies, Poland. He published sixteen books and more than 210 articles. Since 2013 he is working at the Department of Mechanics of Koszalin University of Technologies as the Professor. His areas of interest are: technical diagnostic, diagnostic systems with an artificial neural network, mathematical modelling, application of mathematical, expert systems, control theory, innovation in electronic applications in cars.

Laszlo Pokoradi, Faculty of Mechanical and Safety Engineering, Institute of Mechatronics and Vehicle Engineering, Óbuda University, Budapest, H-1081 Budapest, Népszinház u. 8

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László Pokorádi Ph.D. C.Sc. Dr. habil., full professor of Óbuda University Institute of Mechatronics and Vehicle Engineering. Research subjects: mathematical modeling of maintenance processes; application of risk management in aviation; application of stochastic, deterministic and fuzzy models in maintenance management; investigation of model uncertainty. László Pokorádi Ph.D. C.Sc. Dr.habil., full professor of Óbuda University Institute of Mechatronics and Vehicle Engineering. Research subjects: mathematical modeling of maintenance processes; application of risk management in aviation; application of stochastic, deterministic and fuzzy models in maintenance management; investigation of model uncertainty.

Dariusz Bernatowicz, Faculty of Electronics and Informatics, Department of Informatics, Koszalin University of Technology, 2 Śniadeckich St., 75-453 Koszalin, Poland

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Dariusz Bernatowicz was born in Malbork, in Poland. He received the M.S. degree in economy in 2000 and also the B.Sc and. M.S. degrees in computer engineering in 2001 from the Koszalin University of Technologies. From 2001 to 2005, he was a Software Development and Programming for multinational corporations (Java, J2EE, DBMS). Since 2005, he has been an Assistant with the Electronics and Informatics Department, Koszalin University of Technologies, Poland. His research interest includes the development and adaptation artificial neural network in the diagnostic systems of a reparable technical object, study of expert and distributed database systems and also software programming with languages Java.

Radosław Duer, Faculty of Electronics and Informatics, Department of Informatics, Koszalin University of Technology, 2 Śniadeckich St., 75-453 Koszalin, Poland

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Radoslaw Duer was born in 1977 at Koszalin, Poland. He received the M.S. degree in electrical engineering in 2001 from the Technical University of Koszalin. Between 2002 and 2006 he was appointed as research fellow at Koszalin University of Technologies of working upon non-destructive methods for thermal investigation of thin-layer semiconductors structures. Since 2006 he is working upon electronic systems development and manufacturing for such companies as Phillips Lighting or Oticon A/S. His interest focuses on systems and processes engineering, products reliability, lifetime/fatigue investigations and thermal modelling.

Published
2017-06-01
How to Cite
Duer, S., Pokoradi, L., Bernatowicz, D. and Duer, R. (2017) “Classification of elements in the diagnostic model of a technical object for building an expert knowledge base”, Journal of Mechanical and Energy Engineering, 1(1), pp. 71-78. Available at: https://jmee.tu.koszalin.pl/ojs/index.php/jmee/article/view/19 (Accessed: 24April2024).
Issue
Vol 1 No 1 (2017)
Section
Energy Engineering
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