發(fā)布時(shí)間：2018-06-03 11:42

  本文選題：復(fù)雜機(jī)電系統(tǒng) + 網(wǎng)絡(luò)模型��； 參考：《北京交通大學(xué)》2017年碩士論文

【摘要】：復(fù)雜機(jī)電系統(tǒng)是融合機(jī)、電、液、光等多物理過程于一體并形成特定功能的復(fù)雜物理系統(tǒng),具有結(jié)構(gòu)復(fù)雜、高度關(guān)聯(lián)、緊密耦合的特點(diǎn),并呈現(xiàn)出網(wǎng)絡(luò)化的趨勢(shì)。部件間密切關(guān)聯(lián)關(guān)系的存在使得系統(tǒng)"牽一發(fā)而動(dòng)全身",一旦系統(tǒng)中某一部件發(fā)生故障,可能快速擴(kuò)展至整個(gè)系統(tǒng),嚴(yán)重時(shí)將會(huì)使系統(tǒng)陷入癱瘓狀態(tài)。如何通過描述部件之間復(fù)雜的相互作用關(guān)系,對(duì)部件的重要性進(jìn)行有效評(píng)估并從數(shù)量眾多且關(guān)系繁雜的復(fù)雜機(jī)電系統(tǒng)中甄別出關(guān)鍵部件顯得尤為重要。但是目前對(duì)于復(fù)雜機(jī)電系統(tǒng)的關(guān)鍵部件辨識(shí)還局限于傳統(tǒng)的單一方法,不能滿足其以網(wǎng)絡(luò)化和相關(guān)失效為主要特點(diǎn)的系統(tǒng)關(guān)鍵部件辨識(shí)的需求。為此本文深入研究復(fù)雜機(jī)電系統(tǒng)的結(jié)構(gòu)與功能特點(diǎn),結(jié)合網(wǎng)絡(luò)理論與方法,提出一種基于網(wǎng)絡(luò)模型的復(fù)雜機(jī)電系統(tǒng)部件重要度評(píng)估及關(guān)鍵部件辨識(shí)方法,主要研究?jī)?nèi)容如下:首先,分析復(fù)雜機(jī)電系統(tǒng)的結(jié)構(gòu)特征和功能特征以及體現(xiàn)出的網(wǎng)絡(luò)化特征,在此基礎(chǔ)上,以部件為節(jié)點(diǎn),以部件之間的功能流為連接邊,構(gòu)建可反映系統(tǒng)結(jié)構(gòu)和功能特征的作用關(guān)系網(wǎng)絡(luò)模型,其中將節(jié)點(diǎn)的拓?fù)浣Y(jié)構(gòu)特征參數(shù)和可靠性參數(shù)作為節(jié)點(diǎn)的屬性,將部件之間的功能依賴強(qiáng)度作為連接邊的權(quán)重。其次,分析影響部件重要度的重要因素,以系統(tǒng)作用關(guān)系網(wǎng)絡(luò)模型為載體,從節(jié)點(diǎn)在網(wǎng)絡(luò)結(jié)構(gòu)中所處地位及對(duì)系統(tǒng)功能發(fā)揮的作用兩方面來度量節(jié)點(diǎn)重要度,分別用節(jié)點(diǎn)結(jié)構(gòu)重要度和節(jié)點(diǎn)功能重要度來表示;分析節(jié)點(diǎn)的拓?fù)浣Y(jié)構(gòu)特征參數(shù)和節(jié)點(diǎn)的功能特征參數(shù),結(jié)合節(jié)點(diǎn)的k-鄰近域和位置信息研究節(jié)點(diǎn)的結(jié)構(gòu)重要度評(píng)估方法,引入節(jié)點(diǎn)的使用可靠度和節(jié)點(diǎn)間的功能依賴強(qiáng)度對(duì)PageRank算法進(jìn)行改進(jìn),研究節(jié)點(diǎn)的功能重要度評(píng)估方法;然后綜合以上兩方面因素,采用貝葉斯信息融合的方法得到節(jié)點(diǎn)重要程度的綜合量度——節(jié)點(diǎn)綜合重要度。最后,對(duì)復(fù)雜機(jī)電系統(tǒng)關(guān)鍵部件的概念進(jìn)行定義,在部件重要度評(píng)估的基礎(chǔ)上,結(jié)合部件故障后可能會(huì)引發(fā)系統(tǒng)級(jí)聯(lián)失效的情況,對(duì)關(guān)鍵部件進(jìn)行分類并給出其判別依據(jù);基于可變模糊聚類迭代模型將各類關(guān)鍵部件的判別依據(jù)作為指標(biāo)特征值,對(duì)復(fù)雜機(jī)電系統(tǒng)部件集進(jìn)行聚類分析,結(jié)合最優(yōu)聚類中心確定系統(tǒng)的關(guān)鍵部件集。將上述方法和模型以CRHX型動(dòng)車組牽引系統(tǒng)為例進(jìn)行了應(yīng)用和驗(yàn)證。研究表明,本文提出的基于網(wǎng)絡(luò)模型的復(fù)雜機(jī)電系統(tǒng)部件重要度評(píng)估與關(guān)鍵部件辨識(shí)方法具有良好的系統(tǒng)抽象能力及較高的準(zhǔn)確性,為復(fù)雜機(jī)電系統(tǒng)關(guān)鍵部件的辨識(shí)開拓了新思路。
[Abstract]:Complex electromechanical system is a kind of complex physical system which integrates many physical processes, such as machine, electricity, liquid and light, and forms a specific function. It has the characteristics of complex structure, high correlation, tight coupling, and presents the trend of networking. The existence of close relationship between components makes the system "pull one hair and move the whole body". Once one part of the system fails, it may extend to the whole system quickly, and if serious, the system will be paralyzed. How to effectively evaluate the importance of components and identify key components from a large number of complex mechanical and electrical systems is particularly important by describing the complex interaction relationships between components. However, at present, the identification of key components of complex electromechanical systems is still limited to the traditional single method, which can not meet the needs of the identification of key components of complex electromechanical systems which are mainly characterized by network and related failures. In this paper, the structure and function characteristics of complex electromechanical system are studied in depth. Combining with network theory and method, a method for evaluating the importance of components and identifying key components of complex electromechanical system based on network model is proposed. The main research contents are as follows: firstly, the structural and functional characteristics of complex electromechanical systems and their network characteristics are analyzed. On this basis, the components are taken as nodes, and the function flow between components is taken as the connecting edge. The function relation network model which can reflect the system structure and function feature is constructed, in which the topological structure characteristic parameters and reliability parameters of nodes are taken as the attributes of the nodes, and the functional dependence strength among the components is taken as the weight of the connection edge. Secondly, the important factors affecting the importance of components are analyzed, and the importance of nodes is measured from two aspects: the position of nodes in the network structure and the function of the system. It is expressed by node structure importance degree and node function importance degree respectively, the topological structure characteristic parameter of node and the function characteristic parameter of node are analyzed, and the evaluation method of structural importance degree of node is studied by combining the k-adjacent domain and position information of node. This paper introduces the reliability of nodes and the strength of functional dependence between nodes to improve the PageRank algorithm, and studies the evaluation method of the function importance of nodes, and then synthesizes the above two factors. The Bayesian information fusion method is used to obtain the comprehensive measure of node importance-node synthesis importance. Finally, the concept of key components of complex electromechanical system is defined. On the basis of evaluating the importance of components, the key components are classified and judged according to the condition that the failure of components may lead to cascade failure. Based on the variable fuzzy clustering iteration model, the discriminant basis of all kinds of key components is taken as the index eigenvalue, and the component set of complex electromechanical system is analyzed by cluster analysis, and the key component set of the system is determined by combining the optimal clustering center. The above methods and models are applied and verified with the traction system of CRHX EMU as an example. The research results show that the proposed method based on network model has good abstract ability and high accuracy for evaluating the importance of complex electromechanical system components and identifying key components. It opens up a new idea for the identification of the key parts of complex electromechanical system.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TH-39

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