Redundancy optimization for series-parallel multi state systems

被引：235

作者：

Levitin, G ^{[1
]}

Lisnianski, A ^{[1
]}

Ben-Haim, H ^{[1
]}

Elmakis, D ^{[1
]}

机构：

[1] Israel Elect Corp Ltd, Planning Dev & Technol Div, Haifa, Israel

来源：

IEEE TRANSACTIONS ON RELIABILITY | 1998年 / 47卷 / 02期

关键词：

redundancy optimization; multi-state availability; performance level; universal generating function; genetic algorithm;

D O I：

10.1109/24.722283

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 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.

引用

页码：165 / 172

页数：8

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