本文選題：T-S模糊　切入點：故障樹分析　出處：《燕山大學》2011年碩士論文

【摘要】：廣泛應用于各類設備、處于控制和動力傳輸重要核心地位的液壓系統(tǒng),其可靠性問題一直是工業(yè)技術亟待完善的關鍵所在,因此研究液壓系統(tǒng)的可靠性分析方法具有重要的理論和實際意義�，F有液壓系統(tǒng)可靠性分析方法仍局限于常規(guī)的二態(tài)分析方法,由此建立的可靠性分析模型與實際情況存在較大差異。為此,本文致力于研究多態(tài)液壓系統(tǒng)的可靠性分析方法,提出了T-S重要度算法以及T-S模糊故障樹與貝葉斯網絡相結合算法,以促進可靠性方法的發(fā)展及其在液壓工程中的應用。 在T-S模糊故障樹分析方法基礎上,針對系統(tǒng)處于不同的已知條件,提出了三種T-S重要度分析算法,包括T-S狀態(tài)重要度、T-S規(guī)則重要度和T-S模糊重要度。通過與現有的傳統(tǒng)故障樹和模糊故障樹的重要度算法進行對比,并結合液壓機動力源系統(tǒng)應用實例,驗證了所提T-S重要度算法的可行性。這三種重要度分別從不同角度反映了部件對系統(tǒng)的貢獻,為不同條件下的可靠性工程應用提供了依據。 在研究基于T-S模糊故障樹、貝葉斯網絡與Barlow方法的二態(tài)和多態(tài)系統(tǒng)可靠性分析方法的基礎上,提出了由貝葉斯網絡來處理T-S模糊故障樹的方法。針對貝葉斯網絡建造問題,提出由T-S模糊故障樹向貝葉斯網絡的轉化方法,完成了貝葉斯網絡與T-S模糊故障樹,以及貝葉斯條件概率和幾種常見T-S重要度的算法比較,驗證了所提方法的可行性。 結合T-S模糊故障樹重要度算法和貝葉斯網絡對某提梁機卷揚系統(tǒng)進行分析,提高了卷揚系統(tǒng)的可靠性。
[Abstract]:Hydraulic system, which is widely used in all kinds of equipment and is in the important core position of control and power transmission, its reliability problem is always the key to be improved urgently in industrial technology. Therefore, it is of great theoretical and practical significance to study the reliability analysis method of hydraulic system. The existing reliability analysis method of hydraulic system is still limited to the conventional two-state analysis method. There is a great difference between the established reliability analysis model and the actual situation. Therefore, this paper is devoted to study the reliability analysis method of the polymorphic hydraulic system. T-S importance algorithm and T-S fuzzy fault tree combined with Bayesian network are proposed to promote the development of reliability method and its application in hydraulic engineering. Based on T-S fuzzy fault tree analysis method, three T-S importance analysis algorithms are proposed for the system under different known conditions. It includes T-S state importance, T-S rule importance and T-S fuzzy importance. Compared with the traditional fault tree and fuzzy fault tree, and combined with the application example of hydraulic press power source system, The feasibility of the proposed T-S importance algorithm is verified, which reflects the contribution of the components to the system from different angles, and provides the basis for the reliability engineering application under different conditions. Based on T-S fuzzy fault tree, Bayesian network and Barlow method, the reliability analysis method of two-state and polymorphic system is studied, and the method of dealing with T-S fuzzy fault tree by Bayesian network is proposed. The transformation method from T-S fuzzy fault tree to Bayesian network is proposed. The Bayesian network is compared with T-S fuzzy fault tree, and the Bayesian conditional probability and several common algorithms of T-S importance are compared. The feasibility of the proposed method is verified. Combined with T-S fuzzy fault tree importance algorithm and Bayesian network, the hoisting system of a beam hoist is analyzed, and the reliability of the hoisting system is improved.
【學位授予單位】：燕山大學
【學位級別】：碩士
【學位授予年份】：2011
【分類號】：TH137

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