CFP last date
20 March 2024
Call for Paper
April Edition
IJCA solicits high quality original research papers for the upcoming April edition of the journal. The last date of research paper submission is 20 March 2024

Submit your paper
Know more
Reseach Article

Fuzzy Reliability Evaluation of a Fire Detector System

by R. K. Bhardwaj, S. C. Malik
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 3
Year of Publication: 2012
Authors: R. K. Bhardwaj, S. C. Malik
10.5120/6086-8240

R. K. Bhardwaj, S. C. Malik . Fuzzy Reliability Evaluation of a Fire Detector System. International Journal of Computer Applications. 43, 3 ( April 2012), 41-46. DOI=10.5120/6086-8240

@article{ 10.5120/6086-8240,
author = { R. K. Bhardwaj, S. C. Malik },
title = { Fuzzy Reliability Evaluation of a Fire Detector System },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 3 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 41-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number3/6086-8240/ },
doi = { 10.5120/6086-8240 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:32:28.175652+05:30
%A R. K. Bhardwaj
%A S. C. Malik
%T Fuzzy Reliability Evaluation of a Fire Detector System
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 3
%P 41-46
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Reliability has vital significance to engineers and designers in a safety system. Consequently, failures free operation of components or sub-systems is of their key concern. To assess the reliability of such systems quantitatively, failure data of the components or sub-systems is essentially required. In general, such data is either not pre-recorded or present in linguistic form (good, bad etc). For quantitative evaluation of reliability the usual probabilistic considerations seems to be inadequate. Therefore, in this paper, conventional fault tree analysis (FTA) approach integrated with fuzzy theory has been used to evaluate the reliability of a fire detector system using fuzzy failure possibilities of components (or sub-systems).

References
  1. Birolini, A. 2007. Reliability engineering-theory and practice, 5th ed. , Springer-Verlag.
  2. Bozzano, M. and Villafiorita, A. 2011. Design and safety assessment of critical systems, CRC Press, Taylor and Francis Group, New York.
  3. Chen, S. M. 1994. Fuzzy system reliability analysis using fuzzy number arithmetic operations, Fuzzy Sets and Systems, vol. 64, p. p. 31-38.
  4. Chen, S. M. 1996. New method for fuzzy system reliability analysis, Cybernetics and systems: An International Journal, vol. 27(4), pp. 385-401.
  5. Kanfmann, A. and Gupta, M. M. 1988. Fuzzy mathematical models in engineering and management science, Amsterdam North-Holland.
  6. Liang, G. S. and Wang, M. J. J. 1993. Fuzzy fault tree analysis using failure possibilities, Microelectronics and Reliability, vol. 33, pp. 583-597.
  7. Nikolaos, L. 2007. Fault trees, ISTE.
  8. Rausard, M. and Hoyland, A. 2004. System reliability theory: models, statistical methods and applications, 2nd ed. , Wiley-Interscience Publisher.
  9. Ross, T. J. 1997. Fuzzy logic with engineering applications, International ed. , Mc Graw Hill Inc. , New York.
  10. Singer, D. 1990. A fuzzy set approach to fault tree and reliability analysis, Fuzzy Sets and Systems, vol. 34, p. p. 145-155.
  11. Zadeh, L. A. 1965. Fuzzy sets, Information and Control, vol. 8, pp. 338-353.
  12. Zadeh, L. A. 1978. Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems, vol. 1, pp. 3-28.
  13. Zimmermann, H. J. 1996. Fuzzy sets theory and its applications, 2nd ed. , Allied Publishers Ltd
Index Terms

Computer Science
Information Sciences

Keywords

Fire Detector System Fault Tree Fuzzy Failures Fuzzy Numbers Fta And Reliability