不同元件構(gòu)成系統(tǒng)中元件維修率分布確定
發(fā)布時間:2018-08-24 10:56
【摘要】:將Markov鏈引入SFT理論中,計算可表示環(huán)境因素影響的元件維修率分布.研究針對不同元件構(gòu)成的串聯(lián)、并聯(lián)和混聯(lián)系統(tǒng)中元件的維修率分布計算方法.給出了串聯(lián)和并聯(lián)系統(tǒng)中元件維修率推導(dǎo)過程.對狀態(tài)轉(zhuǎn)移概率的計算不使用Markov狀態(tài)轉(zhuǎn)移矩陣求解,而是根據(jù)Markov狀態(tài)轉(zhuǎn)移圖中的狀態(tài)關(guān)系求解.使用SFT中的元件故障概率分布代替Markov鏈中的失效率,可得到元件維修率分布.以混聯(lián)系統(tǒng)作為實例進行分析,使用狀態(tài)關(guān)系求解各狀態(tài)轉(zhuǎn)移概率關(guān)系,得到了3個元件在使用時間t和使用溫度c影響下的維修率分布,及正常狀態(tài)轉(zhuǎn)移概率范圍.
[Abstract]:The Markov chain is introduced into the SFT theory to calculate the component maintenance rate distribution which can be expressed by environmental factors. The method of calculating the maintenance rate distribution of different components in series, parallel and hybrid systems is studied. The derivation process of component maintenance rate in series and parallel systems is given. The calculation of state transition probability is not solved by Markov state transition matrix, but by the state relation in Markov state transition graph. The component maintenance rate distribution can be obtained by replacing the failure rate in the Markov chain with the component failure probability distribution in SFT. Taking the hybrid system as an example, the state relation is used to solve each state transition probability relation, and the maintenance rate distribution and the normal state transition probability range of the three components under the influence of service time t and service temperature c are obtained.
【作者單位】: 遼寧工程技術(shù)大學(xué)安全科學(xué)與工程學(xué)院;礦山熱動力災(zāi)害與防治教育部重點實驗室;大連交通大學(xué)遼寧省隧道與地下結(jié)構(gòu)工程技術(shù)研究中心;遼寧工程技術(shù)大學(xué)力學(xué)與工程學(xué)院;
【基金】:國家自然科學(xué)基金(61350003,51674127,51050003)資助課題
【分類號】:O211.62;O213.2
,
本文編號:2200599
[Abstract]:The Markov chain is introduced into the SFT theory to calculate the component maintenance rate distribution which can be expressed by environmental factors. The method of calculating the maintenance rate distribution of different components in series, parallel and hybrid systems is studied. The derivation process of component maintenance rate in series and parallel systems is given. The calculation of state transition probability is not solved by Markov state transition matrix, but by the state relation in Markov state transition graph. The component maintenance rate distribution can be obtained by replacing the failure rate in the Markov chain with the component failure probability distribution in SFT. Taking the hybrid system as an example, the state relation is used to solve each state transition probability relation, and the maintenance rate distribution and the normal state transition probability range of the three components under the influence of service time t and service temperature c are obtained.
【作者單位】: 遼寧工程技術(shù)大學(xué)安全科學(xué)與工程學(xué)院;礦山熱動力災(zāi)害與防治教育部重點實驗室;大連交通大學(xué)遼寧省隧道與地下結(jié)構(gòu)工程技術(shù)研究中心;遼寧工程技術(shù)大學(xué)力學(xué)與工程學(xué)院;
【基金】:國家自然科學(xué)基金(61350003,51674127,51050003)資助課題
【分類號】:O211.62;O213.2
,
本文編號:2200599
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