Title :
Expansion of Reliability Models based on Markov Chain with Consideration of Fuzzy Failure Rates: System with two Parallel and Identical Elements with Constant Failure Rates.
Author :
Sharifi, M. ; Ganjian, M. ; Ghajar, H.R.
Author_Institution :
Dept. of Ind. Eng., Islamic Azad Univ., Qazvin
Abstract :
Reliability models based on Markov chains (except queuing models) have extensive application in reliability of electrical and electronically equipments. In this article, a system with two parallel and identical elements with constant failure rate is analyzed and the results are in consideration of failure rates in of triangular fuzzy numbers. Also, to reach a triangular fuzzy number related to failure rate the %( 1-beta ) confidence interval of constant failure rate is used (lambda of exponential distribution)
Keywords :
Markov processes; exponential distribution; fuzzy set theory; reliability theory; Markov chain; electrical-electronically equipment; exponential distribution; fuzzy failure rates; reliability model; triangular fuzzy numbers; Computational intelligence; Computational modeling; Exponential distribution; Failure analysis; Fuzzy systems; Industrial engineering; Parameter estimation; Probability distribution; Uncertainty; Web design;
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
DOI :
10.1109/CIMCA.2005.1631603
