Expert judgement-based tuning of the system reliability neural network

• Autorzy: Brandowski A. , Nguyen H. , Frąckowiak W.
• Języki publikacji: EN

Abstrakty

EN

The neural network tuning procedure applied to reliability analyses of anthrop technical systems, based on judgements of experts - experienced operating practicians. Numerical and linguistic elicitation of the judgements, analyses of the network input and output data correlation and of the AHP method processing deviation are presented. Example of data elicitation and correlation analysis of a reliability arrangement of the seagoing ship propulsion system are included to the article.

Słowa kluczowe

EN

neural network; reliability; elicitation; parameter; correlation

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2014
• Tom: nr 1
• Strony: 28--34
• Opis fizyczny: Bibliogr. 14 poz., rys., tab.

Twórcy

autor

Brandowski A.

• Faculty of Marine Engineering Gdynia Maritime University, Morska 81-87, 81-225 Gdynia, POLAND, mobile: [phone]

autor

Nguyen H.

• Faculty of Marine Engineering Gdynia Maritime University, Morska 81-87, 81-225 Gdynia, POLAND, mobile: [phone]

autor

Frąckowiak W.

• Faculty of Marine Engineering Gdynia Maritime University, Morska 81-87, 81-225 Gdynia, POLAND, mobile: [phone]

Bibliografia

• 1. Brandowski A.: Estimation of the Probability of Propulsion Loss by a Seagoing Ship Based on Expert Opinions. Polish Maritime Research. 59. 73-77, 2009.
• 2. Brandowski A., Mielewczyk A., Nguyen H., Frackowiak W.: Certain propulsion risk prediction model of a seagoing ship. Proceedings of ESREL 2010 Conference. Rhodes: CRS PRESS / BALKEMA, 42-48, 2010.
• 3. Brandowski A., Mielewczyk A., Nguyen H., Frackowiak W.: A fuzzy - neuron model of the ship propulsion risk prediction. Szczecin - Świnoujście: Journal of KONBiN, 2010.
• 4. Cooke R. M.: Experts in Uncertainty. New York, Oxford: Oxford University Press, 1991.
• 5. Elliot M. A.: Selecting numerical scales for pairwise comparisons. Reliability Engineering and System Safety 95, 750-763, 2010.
• 6. Gniedienko B. W., Bielajew J. K., Sołowiew A. D.: Mathematical methods in the reliability theory (in Polish). Warszawa: Wydawnictwa Naukowo-Techniczne, 1968.
• 7. IMO – Resolution A. 849(20).: Code for the investigation of marine casualties and incidents. London: IMO, 1997.
• 8. Jaźwiński J., Smalko Z.: The use of expert method for estimation of the beta distribution parameters for evaluation of nondelectability and safety of technical means of transport (in Polish). Radom: Wyd. Instytutu Technologii Eksploatacji, 2001.
• 9. Judgment under uncertainty: Heuristics and biases (edited by: Kahneman G., Slovic P., Tversky A.). Cambridge University Press, 2001.
• 10. Kwiesielewicz M.: Analytical hierarchical decision process. Non-fuzzy and fuzzy pairwise comparison (in Polish). Warsaw: System Research Institute PAN, 2002.
• 11. Modarres M., Kaminskiy M., Krivtsov: Reliability Engineering and Risk Analysis. New York, Basel: Marcel Dekker Inc, 1999.
• 12. Saaty T.L.: The analytic hierarchy process. New York: McGraw Hill, 1980.
• 13. Stanisz A.: Intelligible course of statistics. Vol. 1 (in Polish). Cracow: StatSoft, 2006.
• 14. Yucheng Dong, Yinfeng Xu, Hongyi Li, Min Dai.: A comparative study of the numerical scales and the prioritization methods in AHP. European Journal of Operational Research 186, 226-242, 2008.