基于BN的某型航空發(fā)動(dòng)機(jī)燃油系統(tǒng)故障診斷
本文選題:航空發(fā)動(dòng)機(jī) 切入點(diǎn):燃油系統(tǒng) 出處:《中國民航大學(xué)》2015年碩士論文
【摘要】:隨著現(xiàn)代民航運(yùn)輸業(yè)的迅速發(fā)展,民航飛機(jī)的故障診斷技術(shù)的準(zhǔn)確性和全面性也越來越受到人們的關(guān)注,航空發(fā)動(dòng)機(jī)是飛機(jī)動(dòng)力的直接提供單元,對飛機(jī)的安全運(yùn)行起到?jīng)Q定性的作用。同時(shí),燃油系統(tǒng)則是航空發(fā)動(dòng)機(jī)能源的供給單元,是飛機(jī)安全運(yùn)行的保障,所以航空發(fā)動(dòng)機(jī)燃油系統(tǒng)的診斷與維修就顯得至關(guān)重要。其中對于航空發(fā)動(dòng)機(jī)燃油系統(tǒng)故障診斷的關(guān)鍵問題在于如何準(zhǔn)確、快速、全面地判斷故障發(fā)生的部件。本文利用貝葉斯網(wǎng)絡(luò)(BN,Bayesian Network)診斷方法對CFM56-5B燃油系統(tǒng)進(jìn)行深入分析,并引入診斷代價(jià)函數(shù)來分析診斷成本,對該型發(fā)動(dòng)機(jī)進(jìn)行診斷決策。文章首先對CFM56-5B發(fā)動(dòng)機(jī)燃油系統(tǒng)進(jìn)行具體的結(jié)構(gòu)介紹及原理分析,并通過歷史故障的信息和實(shí)踐經(jīng)驗(yàn)給出燃油系統(tǒng)的部分常見故障;其次介紹了概率論知識和貝葉斯理論,通過建立BN網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)的形式來構(gòu)建BN診斷模型,并通過發(fā)動(dòng)機(jī)燃油系統(tǒng)故障產(chǎn)生機(jī)理和故障征兆,來建立發(fā)動(dòng)機(jī)燃油系統(tǒng)故障的BN網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu),分析其定性信息和定量信息;然后將診斷代價(jià)函數(shù)引入診斷決策,在經(jīng)計(jì)算獲取貝葉斯故障概率數(shù)據(jù)的前提下考慮診斷的安全性指標(biāo)和經(jīng)濟(jì)性指標(biāo),對系統(tǒng)診斷步驟進(jìn)行合理排序,使概率相對高、診斷代價(jià)相對低的診斷步驟得以優(yōu)先進(jìn)行。本文最后通過對CFM56-5B型發(fā)動(dòng)機(jī)燃油系統(tǒng)的特定故障進(jìn)行分析和診斷決策應(yīng)用;在進(jìn)行具體診斷代價(jià)函數(shù)的建立時(shí)利用修正熵權(quán)法對各項(xiàng)指標(biāo)權(quán)重進(jìn)行賦值,并利用實(shí)際的時(shí)間、費(fèi)用值來確定最終的診斷代價(jià),最終確定了基于貝葉斯網(wǎng)絡(luò)診斷的診斷決策,并與TSM(故障隔離手冊)診斷程序進(jìn)行比較,應(yīng)用TOPSIS綜合評價(jià)方法,以診斷代價(jià)為標(biāo)準(zhǔn),驗(yàn)證了BN的優(yōu)越性。
[Abstract]:With the rapid development of modern civil aviation transportation industry, people pay more and more attention to the accuracy and comprehensiveness of the fault diagnosis technology of civil aviation aircraft.It plays a decisive role in the safe operation of the aircraft.At the same time, fuel system is the supply unit of aero-engine energy and the guarantee of aircraft safe operation, so the diagnosis and maintenance of aero-engine fuel system is very important.The key problem in the fault diagnosis of aero-engine fuel system is how to judge the fault components accurately, quickly and comprehensively.In this paper, the Bayesian network diagnosis method is used to analyze the CFM56-5B fuel system in depth, and the diagnostic cost function is introduced to analyze the diagnosis cost and make the diagnosis decision for the engine.In this paper, the structure and principle of CFM56-5B engine fuel system are introduced, and some common faults of fuel system are given through historical fault information and practical experience, and then the knowledge of probability theory and Bayesian theory are introduced.The BN network topology structure of engine fuel system fault is established by establishing BN network topology structure and the mechanism and symptom of engine fuel system fault.The qualitative and quantitative information is analyzed, and then the diagnostic cost function is introduced into the diagnosis decision, and the safety index and economic index of diagnosis are considered on the premise of obtaining Bayesian fault probability data by calculation.The reasonable ranking of the system diagnostic steps makes the diagnostic steps with relatively high probability and relatively low diagnostic cost take precedence.In the end, through the analysis of the specific faults of the fuel system of CFM56-5B engine and the application of the diagnosis decision, the paper uses the modified entropy weight method to assign the weight of each index, and makes use of the actual time when establishing the specific diagnostic cost function.The cost value is used to determine the final diagnosis cost, and finally the diagnosis decision based on Bayesian network diagnosis is determined, and compared with the diagnosis program of TSM (Fault isolation Manual), the comprehensive evaluation method of TOPSIS is applied, and the diagnostic cost is taken as the standard.The superiority of BN is verified.
【學(xué)位授予單位】:中國民航大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:V263.6
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