调距桨液压系统故障仿真与诊断技术研究

发布时间：2018-07-10 14:02

本文选题：调距桨 + 故障诊断　；参考：《哈尔滨工程大学》2013年硕士论文

【摘要】：调距桨是集电气、机械、液压为一体的典型的复杂系统，其中液压系统是其重要组成部分，在调距桨系统出现的各种故障中液压系统故障也占较大部分。因此，研究调距桨液压系统的故障模式及其形成机理并对其进行故障诊断具有重要的现实意义。本文在对调距桨液压系统常见故障进行调研总结的基础上，开展了液压系统故障仿真与诊断技术研究，具体研究工作如下： 1对可调距螺旋桨系统的组成及结构进行分析，，以某调距桨液压系统为研究对象，利用AMESim软件建立了调距桨液压系统仿真模型，并检验该模型的正确性。 2分析调距桨液压系统常见的液压泵磨损、溢流阀故障、压力滤器堵塞、液压缸泄露、液压泵“气穴”等六种故障模式，对各故障模式的故障机理进行分析并利用AMESim软件建立了各故障的故障模型，仿真运行各模型得出故障状态下的液压系统运行参数，从中寻找出各故障模式的故障特征指标，为调距桨液压系统的故障诊断提供故障样本数据。 3利用FMEA方法对各故障模式进行分析；以各故障模型仿真得到的故障特征指标数据为故障样本数据，运用RBF神经网络对各故障进行诊断。诊断出结果后从FMEA表格中查得该故障的形成原因、影响及使用补偿措施等相关故障信息，便于故障的快速排除，在使用中有一定的实用价值。
[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.
【学位授予单位】：哈尔滨工程大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：U672.7;TH137

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