本文選題：天然氣管道 + 可靠性�。� 參考：《油氣儲(chǔ)運(yùn)》2017年09期

【摘要】：天然氣管道故障率隨運(yùn)行時(shí)間的增加而不斷增加,傳統(tǒng)的等周期預(yù)防性維修無(wú)法滿足天然氣管道失效特性,為提高天然氣管道的安全性,開(kāi)展對(duì)彈性維修周期模型的研究。既要提高系統(tǒng)的可靠性,又要控制維修成本,將天然氣管道的可靠性和天然氣管道維修的經(jīng)濟(jì)性結(jié)合起來(lái),根據(jù)系統(tǒng)故障率的變化,運(yùn)用預(yù)防性維修的相關(guān)理論,引入役齡回退因子建立系統(tǒng)可靠性-維修成本多目標(biāo)優(yōu)化模型。結(jié)合具體的工程實(shí)例,在Matlab平臺(tái)下,應(yīng)用多目標(biāo)粒子群優(yōu)化算法對(duì)模型的具體算例進(jìn)行求解,得到以可靠性和經(jīng)濟(jì)性為目標(biāo)的彈性預(yù)防性維修周期,為天然氣管道的維修管理提供理論依據(jù)。
[Abstract]:The failure rate of natural gas pipeline increases with the increase of running time. Traditional preventive maintenance with equal period can not meet the failure characteristics of natural gas pipeline. In order to improve the safety of natural gas pipeline, the research on elastic maintenance cycle model is carried out. It is necessary to improve the reliability of the system and control the maintenance cost, combine the reliability of the natural gas pipeline with the economy of the maintenance of the natural gas pipeline, and apply the relevant theory of preventive maintenance according to the change of the failure rate of the system. The multiobjective optimization model of system reliability and maintenance cost is established by introducing the service age regression factor. Combined with the concrete engineering example, the multi-objective particle swarm optimization algorithm is applied to solve the concrete example of the model under the Matlab platform, and the elastic preventive maintenance cycle with the aim of reliability and economy is obtained. It provides theoretical basis for the maintenance and management of natural gas pipeline.
【作者單位】： 西安建筑科技大學(xué)管理學(xué)院;
【基金】：陜西省自然科學(xué)基金資助項(xiàng)目“基于健康管理的長(zhǎng)輸氣管道維修決策研究”,2014JM9375
【分類(lèi)號(hào)】：TE973
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本文編號(hào)：1856687