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天然气管道弹性维修周期模型

An elastic maintenance period model for natural gas pipeline
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摘要 天然气管道故障率随运行时间的增加而不断增加,传统的等周期预防性维修无法满足天然气管道失效特性,为提高天然气管道的安全性,开展对弹性维修周期模型的研究。既要提高系统的可靠性,又要控制维修成本,将天然气管道的可靠性和天然气管道维修的经济性结合起来,根据系统故障率的变化,运用预防性维修的相关理论,引入役龄回退因子建立系统可靠性-维修成本多目标优化模型。结合具体的工程实例,在Matlab平台下,应用多目标粒子群优化算法对模型的具体算例进行求解,得到以可靠性和经济性为目标的弹性预防性维修周期,为天然气管道的维修管理提供理论依据。 As a natural gas pipeline operates, its failure rate increases over the time. However, the failure characteristics of natural gas pipeline cannot be met when the traditional preventive maintenance with one fixed period is carried out. To improve the safety of natural gas pipeline, an elastic maintenance period model was studied. The reliability of natural gas pipeline and the economy of its maintenance were combined to increase the reliability of the system and control the maintenance costs. According to the change of system failure rate and the theories related with preventive maintenance, a reliability-maintenance cost multi-objective optimization model was established for the system by introducing the age reduction factor. Then, based on the specific engineering cases, the specific calculation examples were solved in this model by applying the multi-objective particle swarm optimization algorithm in Matlab platform. And thus, the elastic preventive maintenance period with reliability and economy as the objectives was calculated. The research results provide the theoretical basis for the maintenance and management of natural gas pipelines.
作者 李辉 张志霞 赵乐新 LI Hui ZHANG Zhixia ZHAO Lexin(School of Management, Xi'an University of Architecture and Technolog)
出处 《油气储运》 CAS 北大核心 2017年第9期1042-1046,共5页 Oil & Gas Storage and Transportation
基金 陕西省自然科学基金资助项目"基于健康管理的长输气管道维修决策研究" 2014JM9375
关键词 天然气管道 可靠性 成本 维修周期 多目标粒子群算法 natural gas pipeline, reliability, cost, maintenance period, multi-objective particle swarm algorithm
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