本文選題：動態(tài)故障樹 + 靜態(tài)故障樹��； 參考：《西安工業(yè)大學》2016年碩士論文

【摘要】：故障診斷技術是一項與生產(chǎn)現(xiàn)實具有密切關系的工程類學科,廣泛應用于當前工業(yè)、國防等領域,是一個日益重要的研究內(nèi)容。隨著系統(tǒng)復雜程度的越來越高,以及自動化程度的快速發(fā)展,系統(tǒng)故障率也隨之升高,對系統(tǒng)的可靠性要求也越來越高。所以,在未來很長時間內(nèi),故障診斷技術必定會成為國內(nèi)外專家學者們的重要研究方向。利用先進的故障診斷技術對系統(tǒng)進行診斷,不僅可以有效排除系統(tǒng)故障,而且可以防止重大事故的發(fā)生,避免人員傷亡及經(jīng)濟損失。本文以航空航天領域為背景,深入研究了“飛行器故障診斷技術”的理論方法和實際應用實例。主要針對如下兩項工作做了大量的研究和開發(fā)：一是進行了基于故障樹和有向圖的故障診斷算法研究,并分別應用該方法進行了飛行器實際系統(tǒng)的故障診斷；二是基于C#軟件開發(fā)平臺完成了“飛行器故障診斷與輔助決策系統(tǒng)”的部分功能開發(fā)。以下是對本課題內(nèi)容和成果的歸結。(1)靜態(tài)故障樹方法研究。包括靜態(tài)故障樹定性、定量分析；采用二元決策圖進行靜態(tài)故障樹分析。(2)動態(tài)故障樹方法研究。第一,提出了基于Monte Carlo的動態(tài)故障樹頂事件發(fā)生概計算方法。對于包含不同動態(tài)邏輯門的動態(tài)故障樹模型,將頂事件發(fā)生概率轉換為不同邏輯門的多重積分,采用Monte Carlo近似方法計算,將此方法應用于“某衛(wèi)星太陽翼驅動機構步進電機”故障診斷實例；第二,把模塊化的思想引入動態(tài)故障樹進行分析。采用此方法首先需要將動態(tài)故障樹模型分解成動態(tài)和靜態(tài)子樹,再各自采取Markov模型和二元決策圖法進行求解,完成了“某衛(wèi)星太陽翼-蓄電池組光伏電源系統(tǒng)”的故障分析。(3)有向圖的故障分析方法。第一,研究通過分層SDG模型進行故障診斷的方法。采用分層策略,縮小故障源搜索空間,根據(jù)測量節(jié)點之間的內(nèi)在聯(lián)系向前搜索,判斷是否為相容支路,獲得備選故障源的集合。第二,將模糊思想和分層SDG模型相結合,實現(xiàn)了模糊分層SDG模型故障分析方法。該方法首先需要對系統(tǒng)進行SDG建模,而后進行分層,采用模糊變量來表示節(jié)點變量,采取CPT來描述各節(jié)點之間的內(nèi)在聯(lián)系,采用貝葉斯向前尋找的方法把所有備選故障源找到,對此全部備選故障源進行可能性大小排列。利用上述兩種方法分別針對“某型號航空發(fā)動機燃油調(diào)節(jié)系統(tǒng)”進行了故障診斷。(4)基于C#軟件開發(fā)平臺完成了“飛行器故障診斷與輔助決策系統(tǒng)”部分功能開發(fā),實現(xiàn)了靜態(tài)故障樹繪制。
[Abstract]:Fault diagnosis technology is an engineering subject closely related to production reality. It is widely used in industry, national defense and other fields. It is an increasingly important research content. With the increasing complexity of the system and the rapid development of automation, the failure rate of the system also increases, and the reliability requirements of the system become higher and higher. Therefore, in a long time in the future, fault diagnosis technology will become an important research direction of experts and scholars at home and abroad. Using advanced fault diagnosis technology to diagnose the system can not only effectively eliminate the system failures but also prevent the occurrence of serious accidents and avoid casualties and economic losses. In this paper, based on the background of aerospace field, the theoretical method and practical application of "aircraft fault diagnosis technology" are studied in depth. A lot of research and development have been done for the following two tasks: first, the fault diagnosis algorithm based on fault tree and directed graph is studied, and the fault diagnosis method is applied to the actual flight vehicle system respectively; Secondly, based on C # software development platform, some functions of aircraft fault diagnosis and auxiliary decision system are developed. The following is the research of static fault tree method. It includes the qualitative and quantitative analysis of static fault tree and the research of dynamic fault tree method by using binary decision graph to analyze static fault tree. Firstly, a method for calculating the occurrence of dynamic fault tree top events based on Monte Carlo is proposed. For the dynamic fault tree model with different dynamic logic gates, the probability of top event occurrence is converted into multiple integrals of different logic gates, and the Monte Carlo approximation method is used to calculate it. The method is applied to the fault diagnosis example of the stepping motor of a satellite solar wing drive mechanism. Secondly, the modularization idea is introduced into the dynamic fault tree for analysis. Using this method, the dynamic fault tree model should be decomposed into dynamic and static subtrees, and then Markov model and binary decision graph method should be used to solve the problem. The fault analysis method of a satellite solar wing-battery photovoltaic power supply system with digraph is completed. First, the method of fault diagnosis based on hierarchical SDG model is studied. The hierarchical strategy is adopted to narrow down the search space of fault sources and to search forward according to the internal relations between measurement nodes to determine whether they are compatible branches and to obtain the set of alternative fault sources. Secondly, the fault analysis method of fuzzy hierarchical SDG model is realized by combining fuzzy idea with hierarchical SDG model. This method first needs to model the system with SDG, then stratifies, uses fuzzy variables to represent node variables, adopts CPT to describe the internal relations between nodes, and uses Bayes forward search method to find all alternative fault sources. Arrange the possible size of all the alternative fault sources. Using the above two methods, the fault diagnosis of a certain type of aero-engine fuel regulation system is carried out respectively. (4) based on the C # software development platform, the partial function of "aircraft Fault diagnosis and Auxiliary Decision-Making system" is developed. The static fault tree drawing is realized.
【學位授予單位】：西安工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：V267

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