Title :
Redundancy optimization for series-parallel multi-state systems
Author :
Levitin, Gregory ; Lisnianski, Anatoly ; Ben-Haim, Hanoch ; Elmakis, David
Author_Institution :
Planning Dev. & Technol. Div., Israel Electr. Corp. Ltd., Haifa, Israel
fDate :
6/1/1998 12:00:00 AM
Abstract :
This paper generalizes a redundancy optimization problem to multi-state systems, where the system and its components have a range of performance levels-from perfect functioning to complete failure. The components are: (1) chosen from a list of products available in the market; and (2) characterized by their nominal performance level, availability and cost. System availability is represented by a multi-state availability function, which extends the binary-state availability. To satisfy the required multi-state system availability, the redundancy for each component can be used. A procedure which determines the minimal-cost series-parallel system structure subject to a multi-state availability constraint is proposed. A fast procedure is developed, based on a universal generating function, to evaluate the multi-state system availability. Two important types of systems are considered and special operators for the universal generating function determination are introduced. A genetic algorithm is used as an optimization technique. Examples are given
Keywords :
failure analysis; genetic algorithms; redundancy; reliability theory; binary-state availability; component performance levels; genetic algorithm; multi-state availability function; redundancy optimization problem; series-parallel multi-state systems; universal generating function; Availability; Cost function; Customer satisfaction; Genetic algorithms; Gradient methods; Performance analysis; Power system analysis computing; Power system reliability; Redundancy; Reliability engineering;
Journal_Title :
Reliability, IEEE Transactions on