1. bookVolume 24 (2012): Issue 1 (December 2012)
Journal Details
License
Format
Journal
eISSN
2083-4608
ISSN
1895-8281
First Published
26 Feb 2008
Publication timeframe
4 times per year
Languages
English
access type Open Access

Application of Fuzzy Fault Tree in Risk Analysis of Collective Water Supply Systems / ZASTOSOWANIE ROZMYTYCH DRZEW NIEZDATNOŚCI W ANALIZIE RYZYKA SYSTEMÓW ZBIOROWEGO ZAOPATRZENIA W WODĘ

Published Online: 15 Nov 2013
Volume & Issue: Volume 24 (2012) - Issue 1 (December 2012)
Page range: 13 - 24
Journal Details
License
Format
Journal
eISSN
2083-4608
ISSN
1895-8281
First Published
26 Feb 2008
Publication timeframe
4 times per year
Languages
English
Abstract

Application of the theory of using fuzzy fault trees is the first attempt to be used in collective water supply systems safety assessment in Poland. The paper presents a method of fault tree using fuzzy set theory. Fuzziness of basic logic gates used in the fault tree method is presented. The paper contains an application example of the method.

Keywords

Słowa kluczowe

[1] Christodoulou S. Deligianni A., Aslani P., Agathokleous A.,: Risk-based asset management of water piping networks using neurofuzzy systems, Computers, Environmental and Urban Systems, Elsevier, 33/2009, p. 138-149.10.1016/j.compenvurbsys.2008.12.001Search in Google Scholar

[2] Kleiner Y. Rajani B., Sadiq R.: Failure risk management of buried infrastructure using fuzzy-based techniques, Journal of Water Supply Research and Technology - Aqua, IWA Publishing, v. 55, no.2/2006, p. 81-94.10.2166/aqua.2006.075Search in Google Scholar

[3] Kołowrocki K. Smalko Z.: Safety and reliability of a three-state system at variable operation conditions, Scientific problems of machines operation and maintenance, Komitet Budowy Maszyn PAN, 2(166)/2011, p. 47-54.Search in Google Scholar

[4] Rausand M. Hoyland A.: System Reliability Theory - Models, Statistical Methods, and Applications, Wiley-Interscience, USA, 2004.Search in Google Scholar

[5] Sadiq R. Kleiner Y., Rajani B.: Water quality failures in distribution networks-risk analysis using fuzzy logic and evidentail reasoning, Risk Analysis, 27(5)/2007, p. 1381-1394.10.1111/j.1539-6924.2007.00972.x18076503Search in Google Scholar

[6] Smalko Z.: Analiza drzew niezdatności, zagrożeń i zabezpieczeń, XXVII Zimowa Szkoła Niezawodności - Metody sieciowe w inżynierii niezawodności, Szczyrk, 1999Search in Google Scholar

[7] Szopa T.: Niezawodność i bezpieczeństwo, Oficyna Wydawnicza PW, 2009.Search in Google Scholar

[8] Tchórzewska-Cieślak B.: Model of risk of water mains failure using fuzzy logic, Journal of Polish Safety and Reliability Association, Polish Safety and Reliability Association, 1/2010, p. 255-264.Search in Google Scholar

[9] Tchórzewska Cieślak B., Boryczko K.: Maps of risk in water distribution subsystem, 11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012, Curran Associates, Inc., Helsinki, 2012, 1, p. 5832 - 5841.Search in Google Scholar

[10] Tchórzewska Cieślak B., Boryczko K., Eid M.,: Failure scenarios in water supply system by means of fault tree analysis, Advances in Safety, Reliability and Risk Management, Grall A. Bérenguer Ch., Guedes Soares C., Editor. 2012, Taylor & Francis Group, London. p. 2492-2499.Search in Google Scholar

[11] Tyagi S. Pandey D., Tyagi R.: Fuzzy set theoretic approach to fault tree analysis, International Journal of Engineering, Science and Technology, MultiCraft Limited, 2(5)/2010, p. 276-283.10.4314/ijest.v2i5.60165Search in Google Scholar

[12] Zio E., Baraldi P., and Popescu I. C.: A fuzzy decision tree for fault classification, Risk Analysis, Feb, 28(1)/2008, p. 49-67. 10.1111/j.1539-6924.2008.01002.x18304106Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo