Maintenance Optimization of Continuous State Systems Based on Performance Improvement

被引：9

作者：

Cai, Zhiqiang ^{[1
]}

Si, Shubin ^{[1
]}

Liu, Yan ^{[1
]}

Zhao, Jiangbin ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Dept Ind Engn, Xian 710072, Shaanxi, Peoples R China

来源：

IEEE TRANSACTIONS ON RELIABILITY | 2018年 / 67卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Continuous state system; genetic algorithms (GAs); maintenance optimization; oil transportation system; performance improvement; REDUNDANCY OPTIMIZATION; RELIABILITY; ALGORITHMS;

D O I：

10.1109/TR.2017.2743225

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The continuous state system is a special kind of a system in which the states of the system and its components have continuous values, ranging from perfect functioning to complete failure. This paper introduces the performance improvement for a continuous state system, which can be used to measure the improvement of systems performance comparing pre- and postmaintenance time. The probabilistic characteristics of performance improvement are discussed in detail. Then, the performance improvement for multicomponent maintenance and corresponding calculation method are also put forward to establish the objective function for maintenance optimization. Third, a maintenance optimization model for such a system is studied, and corresponding performance improvement based genetic algorithm is provided to search a near global optimal solution. Finally, two numerical examples and an oil transportation system application case study are implemented to verify the effectiveness of the proposed method.

引用

页码：651 / 665

页数：15

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