【摘要】：隨著計算機(jī)技術(shù)的迅速發(fā)展和企業(yè)的信息化程度越來越高,信息設(shè)備作為信息化建設(shè)重要支撐,其重要性不言而喻。對信息設(shè)備實(shí)行狀態(tài)檢修,是保障企業(yè)機(jī)房信息化設(shè)備的正常運(yùn)轉(zhuǎn)的重要手段,信息設(shè)備的健康管理和故障預(yù)警作為狀態(tài)檢修的重要組成部分,其研究具有重要的實(shí)際意義。云模型作為定性指標(biāo)與定量指標(biāo)相互轉(zhuǎn)換的一個有效工具,能同時兼顧變量的隨機(jī)性和模糊性,可以用于解決信息設(shè)備健康管理和故障預(yù)警中的不確定性的問題。本文通過分析現(xiàn)有的設(shè)備健康管理和故障預(yù)警技術(shù),發(fā)現(xiàn)了對定性指標(biāo)的評價方面的研究存在不足之處,提出一種基于云模型的評估方法對信息設(shè)備進(jìn)行健康狀況評估,并提出基于云模型和最小二乘支持向量機(jī)相結(jié)合的信息設(shè)備故障預(yù)警方法,通過結(jié)合健康評估指數(shù)和預(yù)警分析結(jié)果實(shí)現(xiàn)對信息設(shè)備的狀態(tài)檢修。同時,通過實(shí)驗(yàn)驗(yàn)證了云模型在信息設(shè)備健康管理和故障預(yù)警中具有良好的實(shí)用性。最后,對信息設(shè)備狀態(tài)檢修輔助決策系統(tǒng)進(jìn)行了設(shè)計和部分模塊的實(shí)現(xiàn),對系統(tǒng)各個關(guān)鍵功能模塊進(jìn)行了詳細(xì)設(shè)計,創(chuàng)建了業(yè)務(wù)流程圖及系統(tǒng)數(shù)據(jù)流圖,并對系統(tǒng)的數(shù)據(jù)庫進(jìn)行了詳細(xì)的設(shè)計。實(shí)現(xiàn)對信息設(shè)備的健康管理和故障預(yù)警,為狀態(tài)檢修提供輔助決策意見。
[Abstract]:With the rapid development of computer technology and the increasing degree of enterprise informatization, the importance of information equipment as an important support of information construction is self-evident. Condition-based maintenance of information equipment is an important means to ensure the normal operation of information equipment in enterprise computer room. The health management and fault warning of information equipment as an important part of condition-based maintenance, its research has important practical significance. As an effective tool for transforming qualitative and quantitative indexes, cloud model can take into account the randomness and fuzziness of variables, and can be used to solve the uncertainty problems in information equipment health management and fault warning. Based on the analysis of the existing equipment health management and fault warning technology, this paper finds out the shortcomings of the research on the evaluation of qualitative indicators, and puts forward a method based on cloud model to evaluate the health status of information equipment. An information equipment fault early warning method based on cloud model and least squares support vector machine is proposed. The condition maintenance of information equipment is realized by combining health assessment index and early warning analysis results. At the same time, the experiments show that the cloud model has good practicability in information equipment health management and fault warning. Finally, the information equipment condition-based maintenance assistant decision system is designed and some modules are implemented. The key function modules of the system are designed in detail, and the business flow chart and the system data flow diagram are created. The database of the system is designed in detail. Realize the health management and fault early warning of information equipment, and provide auxiliary decision advice for condition maintenance.
【學(xué)位授予單位】：華北電力大學(xué)(北京)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TP393.09;TP18

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