Read e-book online Computational Intelligence in Reliability Engineering: New PDF

By Yun-Chia Liang, Alice E. Smith (auth.), Dr. Gregory Levitin (eds.)

ISBN-10: 3540373713

ISBN-13: 9783540373711

ISBN-10: 3540373721

ISBN-13: 9783540373728

This quantity comprises chapters proposing functions of alternative metaheuristics (ant colony optimization, nice deluge set of rules, cross-entropy technique and particle swarm optimization) in reliability engineering. it is also chapters dedicated to mobile automata and help vector machines and varied functions of synthetic neural networks, a strong adaptive method that may be used for studying, prediction and optimization. numerous chapters describe diversified features of vague reliability and purposes of fuzzy and obscure set conception.

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Additional info for Computational Intelligence in Reliability Engineering: New Metaheuristics, Neural and Fuzzy Techniques in Reliability

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Ghare PM, Taylor RE (1969) Optimal redundancy for reliability in series systems. Operations Research 17:838-847 24. Kulturel-Konak S, Coit DW, Smith AE (2003) Efficiently solving the redundancy allocation problem using tabu search. IIE Transactions 35(6):515-526 25. Kuo W, Prasad VR (2000) An annotated overview of system-reliability optimization. IEEE Transactions on Reliability 49(2):176-187 26. Levitin G, Lisnianski A, Ben-Haim H, Elmakis D (1998) Redundancy optimization for series-parallel multi-state systems.

In other words, we assume that there exists a function ϕ : {1,0}m→{1,0} such that s = ϕ ( x). This function is called the structure function of the system. To determine the structure function of the system it is useful to have a graphical representation of system. 40 Dirk P. Kroese and Kin-Ping Hui Example 1 Suppose a four-engine airplane is able to fly on just one engine on each wing. Number the engines 1, 2 (left wing) and 3, 4 (right wing). 1 represents the system symbolically. The structure function can be written as ϕ ( x ) = (1 − (1 − x1 )(1 − x2 ) ) (1 − (1 − x3 )(1 − x4 ) ) .

5) and RS,min are respectively the lower bounds on the reliabilities of the ith component and the system. 6 for i = 1,2,3,4. 0 for all i. Problem 2: Bridge network. ,5. ,5. ⎤ ⎥ ⎥ ⎥⎦ 36 Vadlamani Ravi Problem 3: Fifteen-stage mixed system (Luus, 1975) The block-diagram for this problem is shown in Figure 3. 67 Ci 4 5 6 7 9 8 6 Wi 7 8 9 7 6 5 7 Applications of the Cross-Entropy Method in Reliability Dirk P. 1 Introduction Telecommunication networks, oil platforms, chemical plants and airplanes consist of a great number of subsystems and components that are all subject to failure.

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Computational Intelligence in Reliability Engineering: New Metaheuristics, Neural and Fuzzy Techniques in Reliability by Yun-Chia Liang, Alice E. Smith (auth.), Dr. Gregory Levitin (eds.)


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