1. bookVolume 49 (2019): Issue 2 (June 2019)
Journal Details
License
Format
Journal
eISSN
2083-4608
First Published
26 Feb 2008
Publication timeframe
4 times per year
Languages
English
access type Open Access

Analysis of a Possibility of Using Fuzzy Logic to Assess the Reliability of Aircraft On-Board Systems

Published Online: 21 Aug 2019
Volume & Issue: Volume 49 (2019) - Issue 2 (June 2019)
Page range: 183 - 198
Journal Details
License
Format
Journal
eISSN
2083-4608
First Published
26 Feb 2008
Publication timeframe
4 times per year
Languages
English
Abstract

The paper attempts to present the current state of knowledge in the use of fuzzy logic in order to assess the reliability of technical objects over the past two decades. In world literature, one can recall three main trends related to the use of fuzzy logic in the reliability estimation. The first one deals mainly with an analysis and assessment of the risk of failure. In the second mainstream, the researchers try to analyse the human factor, which also influences system malfunction. The third group of reliability studies the possibility of using fuzzy logic for proper service planning and thus preventing damage. In each of the three mentioned trends, fuzzy logic complements the classic methods of estimating and predicting reliability.

Keywords

1. Aguilar J., Cerrada M., Morillo K.: A reliability-based failure management. Application using intelligent hybrid Systems. Supervision and Safety for Technical Processes, Budapest 2000.10.1016/S1474-6670(17)37360-3 Search in Google Scholar

2. Baban M., Baban C. F., Blaga S.: Planowanie obsługi narzędzi do obróbki plastycznej na zimno z wykorzystaniem logiki rozmytej. Eksploatacja i Niezawodność, 3, 2010. Search in Google Scholar

3. Barlow R.E., Proshan F.: Mathematical Theory of Reliability, Wiley, London 1965. Search in Google Scholar

4. Baziuk P.A., Rivera S.S., Núñez Mc Leod J.: Fuzzy Human Reliability Analysis: Applications and Contributions, Review Advances in Fuzzy Systems, Volume 2016.10.1155/2016/4612086 Search in Google Scholar

5. Biedgunis S., Smolarkiewicz M., Podwójci P., Czapczuk A.: Mapa ryzyka funkcjonowania rozległych systemów technicznych, Rocznik Ochrona Środowiska, Vol. 9, 2007. Search in Google Scholar

6. Boudnaya J., Mkhida A., Sallak M.: Dependability analysis of Level Crossing Systems using a fuzzy dynamic fault tree approach. European Safety and Reliability Conference ESREL, Switzerland 2015.10.1201/b19094-193 Search in Google Scholar

7. Domech J., Tanscheit R., Vellasco M.M., Pacheco M.A., Swarcman D.M.: A Fuzzy Approach to the Study of Human Reliability in the Petroleum Industry, Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, Springer Berlin Heidelberg 2007. Search in Google Scholar

8. Dzierżanowski Ł., Gasz R.: Implementacja modelu Reliability-Centered Maintenance do komputerowego wspomagania podejmowania decyzji. In: Komputerowo zintegrowane zarządzanie. T.I. Opole: Oficyna Wydawnicza Polskiego Towarzystwa Zarządzania Produkcją, 2011. Search in Google Scholar

9. Felecia: Fuzzy Logic Reliability Centered Maintenance. Jurnal Teknik Industri, 16(2), 2014, DOI: 10.9744/jti.16.2.121-126.10.9744/jti.16.2.121-126 Search in Google Scholar

10. Gupta G., Mishra R.: A Failure Mode Effect and Criticality Analysis of Conventional Milling Machine Using Fuzzy Logic. Quality and Reliability Engineering International, 33, 2016.10.1002/qre.2011 Search in Google Scholar

11. Laskowski D.: Prognozowanie niezawodności złożonych obiektów technicznych, Biuletyn WAT, vol. LV, numer specjalny, 2006. Search in Google Scholar

12. Legutko S.: Trendy rozwoju utrzymania ruchu urządzeń i maszyn, Eksploatacja i Niezawodność, 2, 2009. Search in Google Scholar

13. Li P.-C., Chen G.-H., Dai L.-C., Li Z.: Fuzzy logic-based approach for identifying the risk importance of human error. Safety Science, 48, 2010.10.1016/j.ssci.2010.03.012 Search in Google Scholar

14. Markowski A.S., Mannan M.S., Bigoszewska A.: Fuzzy logic for process safety analysis, Journal of Loss Prevention in the Process Industries, Vol. 22, Iss. 6, 2009.10.1016/j.jlp.2008.11.011 Search in Google Scholar

15. Munger S., Smithy R., Payne D.: An index of electronic equipment operability, data store, Tech. Rep. AIR-C43-1/62-RP, American Institutes for Research, Pittsburgh, USA, 1962.10.21236/AD0607161 Search in Google Scholar

16. Muré S., Demichela M.: Fuzzy Application Procedure (FAP) for the risk assessment of occupational accidents, Journal of Loss Prevention in the Process Industries, Vol. 22, Iss. 5, 2009.10.1016/j.jlp.2009.05.007 Search in Google Scholar

17. Peirce F.T.: Tensile Tests for Cotton Yarns V. – “The Weakest Link” Theorems on the Strength of Long and of Composite Specimens. J. Text. Inst. (Trans.), 17, 1926.10.1080/19447027.1926.10599953 Search in Google Scholar

18. Pieruschka E.: Principles of reliability. Englewood Cliffs, N.J.: Prentice-Hall, 1963. Search in Google Scholar

19. Pietrzyk A., Uhl. T.: Optymalizacja konstrukcji systemów diagnostycznych z zastosowaniem algorytmów genetycznych. Diagnostyka, Vol. 30, t. II, 2004. Search in Google Scholar

20. Podofillini L., Dang V.N., Zio E., Baraldi P, Librizzi M.: Using Expert Models in Human Reliability Analysis - A Dependence Assessment Method Based on Fuzzy Logic. Risk analysis: an official publication of the Society for Risk Analysis, 30, 2010. Search in Google Scholar

21. Pokorádi L.: Application of fuzzy set theory for risk assessment, Journal of Konbin, 2,3 (14,15), 2010.10.2478/v10040-008-0177-5 Search in Google Scholar

22. Rotshtein A., Katielnikov D., Pustylnik L.: Reliability Modeling and Optimization Using Fuzzy Logic and Chaos Theory, International Journal of Quality, Statistics, and Reliability, Vol. 2012, Article ID 847416, 2012. Search in Google Scholar

23. Szopa T.: Niezawodność i bezpieczeństwo. Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa 2009. Search in Google Scholar

24. Tu J., Cheng R., Tao Q.: Reliability Analysis Method of safety-critical avionics system based on Dynamic Fault Tree under Fuzzy uncertainty. Eksploatacja i Niezawodność – Maintenance and Reliability, 17 (1), 2015.10.17531/ein.2015.1.20 Search in Google Scholar

25. Zadeh L.A.: Fuzzy sets in Information and Control, s. 338–353, vol. 8, 1965.10.1016/S0019-9958(65)90241-X Search in Google Scholar

26. Zadeh L.A.: The concept of linguistic variable and its applications to approximate reasoning, Part 1-3, Information Sciences, 1975.10.1007/978-1-4684-2106-4_1 Search in Google Scholar

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