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Hybrid Expert System for Computer-Aided Design of Ship Thruster Subsystems

Abstract

The article presents an expert system supporting the design of ship's power subsystems, in particular the thruster subsystem. The proposed hybrid expert system uses the results of simulation tests as the additional source of knowledge. The results of system operation are collated in a report which can be used as part of ship design description. The work oriented on developing the expert system is the continuation of the research carried out in cooperation with the shipyard's design office, the main aim of which was to automate selected stages of the ship's design process. The hybrid expert system for computer-aided design of ship thruster subsystems can support designers by creating part of the technical description of the thruster subsystem, evaluation of static and dynamic properties, and by checking if design solutions have met the requirements of classification societies. Additionally, the expert system supports collecting and providing information about the elements and structures of the thruster subsystem. Finally, the system provides a document with the description of the thruster structure and elements used in it. The proposed expert system is dedicated to the initial design stages.

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Category:
Articles
Type:
artykuły w czasopismach
Published in:
IEEE Access no. 8, pages 57024 - 57035,
ISSN: 2169-3536
Language:
English
Publication year:
2020
Bibliographic description:
Kopczyński A.: Hybrid Expert System for Computer-Aided Design of Ship Thruster Subsystems// IEEE Access -Vol. 8, (2020), s.57024-57035
DOI:
Digital Object Identifier (open in new tab) 10.1109/access.2020.2982264
Bibliography: test
  1. The Polish Register of Shipping. (2019). Classification Rules. Accessed: Aug. 1, 2019. [Online]. Available: https://www.prs.pl/prs- rules-and-publications/classification-rules.html open in new tab
  2. American Bureau of Shipping. (2019). Classification Rules. Accessed: Oct. 18, 2019. [Online]. Available: https://ww2.eagle.org/en. html open in new tab
  3. Z. Kowalski, ''System z bazą wiedzy dla wspomagania projektowania układów automatyki okrętowej,'' Gdańsk Univ. Technol., Gdańsk, Poland, Tech. Rep., 2000.
  4. J. H. Evans, ''Basic design concepts,'' J. Amer. Soc. Nav. Eng., vol. 71, no. 4, pp. 671-678, Mar. 2009. open in new tab
  5. R. Arendt, A. Kopczyński, and P. Spychalski, ''Centralized and distributed structures of intelligent systems for aided design of ship automation,'' in Proc. 38th Int. Conf. Inf. Syst. Archit. Technol. Inf. Syst. Archit. Technol. (ISAT), in Advances in Intelligent Systems and Computing, vol. 656. Cham, Switzerland: Springer, 2018, pp. 310-319. [Online]. Available: https://link.springer.com/chapter/10.1007%2F978-3-319-67229-8_28 open in new tab
  6. P. Spychalski and R. Arendt, ''Machine learning in multi-agent systems using associative arrays,'' Parallel Comput., vol. 75, pp. 88-99, Jul. 2018. open in new tab
  7. J. A. Matelli, E. Bazzo, and J. C. da Silva, ''An expert system prototype for designing natural gas cogeneration plants,'' Expert Syst. Appl., vol. 36, no. 4, pp. 8375-8384, May 2009. open in new tab
  8. CLIPS: A Tool for Building Expert Systems. Accessed: Apr. 10, 2019. [Online]. Available: http://clipsrules.sourceforge.net/ open in new tab
  9. P. Bhatia, J. Thirunarayanan, and N. Dave, ''An expert system-based design of SCARA robot,'' Expert Syst. Appl., vol. 15, no. 1, pp. 99-109, Jul. 1998. open in new tab
  10. T. K. Jauhari, A. Maimun, and C. L. Siow, ''Review of Systems Engineer- ing Methods, Techniques and Tools for Ship Design as Large and Complex Systems,'' in Proc. Int. Congr. Conf. Comput. Des. Eng., vol. 3, 2019, pp. 82-91.
  11. J.-H. Park and R. L. Storch, ''Overview of ship-design expert systems,'' Expert Syst., vol. 19, no. 3, pp. 136-141, Jul. 2002. open in new tab
  12. K.-S. Kim and M.-I. Roh, ''A submarine arrangement design program based on the expert system and the multistage optimization,'' Adv. Eng. Softw., vol. 98, pp. 97-111, Aug. 2016. open in new tab
  13. X.-Y. Shao, X.-Z. Chu, H.-B. Qiu, L. Gao, and J. Yan, ''An expert system using rough sets theory for aided conceptual design of ship's engine room automation,'' Expert Syst. Appl., vol. 36, no. 2, pp. 3223-3233, Mar. 2009. open in new tab
  14. Z. Kowalski, R. Arendt, M. Meler-Kapcia, and S. Zielński, ''An expert system for aided design of ship systems automation,'' Expert Syst. Appl., vol. 20, no. 3, pp. 261-266, Apr. 2001. open in new tab
  15. Exsys Inc. The Expert System Experts. Accessed: Apr. 10, 2019. [Online]. Available: http://www.exsys.com/ open in new tab
  16. R. Arendt, ''Application of models of ship power subsystems,'' Przegląd Elektrotechniczny, vol. 87, no. 8, pp. 206-211, 2011.
  17. R. Arendt, ''The application of an expert system for simulation investiga- tions in the aided design of ship power systems automation,'' Expert Syst. Appl., vol. 27, no. 3, pp. 493-499, Oct. 2004. open in new tab
  18. R. Arendt and P. Spychalski, ''An application of multi-agent system for ship's power systems design,'' in Proc. 20th Int. Conf. Transp. Means, 2016, pp. 380-384.
  19. A. Kopczyński, ''Mathematical models in design process of ship bow thrusters,'' in Proc. 20th Int. Sci. Conf. Transp. Means, 2016, pp. 328-331.
  20. A. Kopczyński, R. Arendt, and M. Wojtczak, ''The choice of parameters of induction motor model using a genetic algorithm,'' in Proc. 10th IEEE Int. Conf. Methods Models Autom. Robot., Jun. 2004, pp. 143-148.
  21. A. Kopczyński, ''Analysis and design of control systems of ship thrusters with a knowledge-based system,'' Ph.D. dissertation, Gdańsk Univ. Tech- nol., Gdańsk, Poland, 2015.
  22. ANDRZEJ KOPCZYŃSKI received the M.Sc. and Ph.D. degrees in control engineering and robotics from the Gdańsk University of Technol- ogy, in 2002 and 2015, respectively. He is cur- rently an Assistant Professor with the Department of Control Engineering, Gdańsk University of Technology. His current research interests include expert systems, mathematical modeling, and com- puter aided design systems. open in new tab
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