Reliability redundancy optimization allocation of integrated monitoring and control system of deep-sea drilling rig

被引：0
作者：
College of Mechanical and Electronic Engineering in China University of Petroleum, Qingdao [1 ]
266580, China
不详 [2 ]
100083, China
机构：
[1] College of Mechanical and Electronic Engineering in China University of Petroleum, Qingdao
[2] Research Institute of Petroleum Exploration and Development, PetroChina, Beijing
来源：
Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban) | / 1卷 / 128-135期
关键词：
Integrated monitoring and control system (IMCS); Optimization allocation; PSO-GA method; Redundancy; Reliability; Simulated annealing;
D O I：
10.3969/j.issn.1673-5005.2015.01.019
中图分类号：
学科分类号：
摘要：
The techniques of redundancy can be used to enhance the reliability of the integrated monitoring and control system of deep-sea drilling rig (DSDR-IMCS)), which results in cost, weight and volume increasing. A mathematical model of reliability redundancy optimization allocation (RROA) was developed based on the analysis of DSDR-IMCS. A hybrid algorithm was proposed to solve the mathematical model, which combines particle swarm optimization (PSO) algorithm, genetic algorithm (GA) with simulated annealing (SA). Using the fast convergence rate of PSO and good global convergence of GA integrating SA, the new particles of PSO were modified. The numerical simulation results show that the proposed method can not only accelerate calculation speed, reduce the calculation intensity, improve the search efficiency, but also avoid the problem of reducing the capability of global search resulting from rapid convergence. This hybrid algorithm can generate better optimization results, so it can provide a reference for the analysis and design of DSDR-IMCS reliability optimization. ©, 2015, University of Petroleum, China. All right reserved.
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页码：128 / 135
页数：7
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