本文選題：安全工程 + 系統(tǒng)可靠性評價��； 參考：《中國安全科學(xué)學(xué)報》2016年02期

【摘要】：為了解系統(tǒng)工作環(huán)境因素變化導(dǎo)致系統(tǒng)元件失效的可能性,進而確定系統(tǒng)故障變化情況,建立基于云模型的系統(tǒng)可靠性模糊綜合評價方法。通過將不同狀態(tài)下得到的多個綜合評價矩陣中云模型對應(yīng)位置的特征參數(shù)作為因變量,不同狀態(tài)的影響因素值作為自變量進行擬合。用擬合后的函數(shù)代替云模型特征參數(shù),該云模型參數(shù)矩陣與權(quán)重云參數(shù)矩陣的乘積即為最終的評價結(jié)果云模型。結(jié)果云模型是帶有因素自變量的函數(shù),能統(tǒng)一地表示多個云模型,并能得到連續(xù)的過渡狀態(tài)云模型。應(yīng)用上述方法分析某實例系統(tǒng)。結(jié)果表明:最終形成的結(jié)果云模型各特征參數(shù)是帶有表示溫度自變量X的函數(shù),與實際相符。
[Abstract]:In order to understand the possibility of failure of system components caused by the variation of system working environment factors and to determine the variation of system faults, a fuzzy comprehensive evaluation method of system reliability based on cloud model was established. The characteristic parameters of cloud model's corresponding position are taken as dependent variables and the values of influence factors of different states are fitted as independent variables in multiple synthetic evaluation matrices under different states. The characteristic parameters of the cloud model are replaced by the fitted function. The product of the cloud model parameter matrix and the weighted cloud parameter matrix is the final evaluation result cloud model. Results the cloud model is a function with independent variables, which can represent multiple cloud models uniformly and obtain continuous transition state cloud models. The above method is used to analyze an example system. The results show that each characteristic parameter of the resulting cloud model is a function with an independent temperature variable X, which is in accordance with the actual situation.
【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;
【基金】：國家自然科學(xué)基金資助(51050003) 遼寧省自然科學(xué)基金資助(201202022)
【分類號】：X913.4

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1 朱曼;周春輝;文元橋;肖長詩;;沉船礙航性綜合評價的云模型研究[J];武漢理工大學(xué)學(xué)報;2014年03期

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