發(fā)布時間：2018-07-10 14:02

  本文選題：調(diào)距槳 + 故障診斷��； 參考：《哈爾濱工程大學(xué)》2013年碩士論文

【摘要】：調(diào)距槳是集電氣、機(jī)械、液壓為一體的典型的復(fù)雜系統(tǒng)，其中液壓系統(tǒng)是其重要組成部分，在調(diào)距槳系統(tǒng)出現(xiàn)的各種故障中液壓系統(tǒng)故障也占較大部分。因此，研究調(diào)距槳液壓系統(tǒng)的故障模式及其形成機(jī)理并對其進(jìn)行故障診斷具有重要的現(xiàn)實意義。本文在對調(diào)距槳液壓系統(tǒng)常見故障進(jìn)行調(diào)研總結(jié)的基礎(chǔ)上，開展了液壓系統(tǒng)故障仿真與診斷技術(shù)研究，具體研究工作如下： 1對可調(diào)距螺旋槳系統(tǒng)的組成及結(jié)構(gòu)進(jìn)行分析，，以某調(diào)距槳液壓系統(tǒng)為研究對象，利用AMESim軟件建立了調(diào)距槳液壓系統(tǒng)仿真模型，并檢驗該模型的正確性。 2分析調(diào)距槳液壓系統(tǒng)常見的液壓泵磨損、溢流閥故障、壓力濾器堵塞、液壓缸泄露、液壓泵“氣穴”等六種故障模式，對各故障模式的故障機(jī)理進(jìn)行分析并利用AMESim軟件建立了各故障的故障模型，仿真運(yùn)行各模型得出故障狀態(tài)下的液壓系統(tǒng)運(yùn)行參數(shù)，從中尋找出各故障模式的故障特征指標(biāo)，為調(diào)距槳液壓系統(tǒng)的故障診斷提供故障樣本數(shù)據(jù)。 3利用FMEA方法對各故障模式進(jìn)行分析；以各故障模型仿真得到的故障特征指標(biāo)數(shù)據(jù)為故障樣本數(shù)據(jù)，運(yùn)用RBF神經(jīng)網(wǎng)絡(luò)對各故障進(jìn)行診斷。診斷出結(jié)果后從FMEA表格中查得該故障的形成原因、影響及使用補(bǔ)償措施等相關(guān)故障信息，便于故障的快速排除，在使用中有一定的實用價值。
[Abstract]:Adjustable pitch propeller is a typical complex system with electric, mechanical and hydraulic systems, in which hydraulic system is an important part, and hydraulic system faults also account for a large part in all kinds of faults of pitch regulating propeller system. Therefore, it is of great practical significance to study the fault mode and its formation mechanism of the hydraulic system with adjustable pitch propeller and to diagnose the fault. Based on the investigation and summary of the common faults of the hydraulic system of the adjustable pitch propeller, this paper studies the fault simulation and diagnosis technology of the hydraulic system. The specific research work is as follows: 1 the composition and structure of the adjustable pitch propeller system are analyzed. Taking a certain adjustable pitch propeller hydraulic system as the research object, the simulation model of the adjustable pitch propeller hydraulic system is established by using AMESim software. And verify the correctness of the model. 2 analyze the hydraulic pump wear, relief valve failure, pressure filter blockage, hydraulic cylinder leakage, hydraulic pump "cavitation" six fault modes, etc. The fault mechanism of each fault mode is analyzed and the fault model of each fault is established by using AMESim software. The operating parameters of hydraulic system under the condition of fault are obtained by simulating each model, and the fault characteristic indexes of each fault mode are found out. Fault sample data are provided for fault diagnosis of hydraulic system with adjustable pitch propeller. 3 each fault mode is analyzed by FMEA method, fault characteristic index data obtained by simulation of each fault model is taken as fault sample data. RBF neural network is used to diagnose the faults. After the diagnosis results are found from the FMEA table, the causes of the fault formation, the influence and the use of compensation measures and other related fault information are found, which is convenient for the rapid troubleshooting of the fault, and has certain practical value in use.
【學(xué)位授予單位】：哈爾濱工程大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：U672.7;TH137

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