基于虚拟现实技术的航空发动机机械故障诊断研究
[Abstract]:With the rapid development of aerospace science and technology, the safety and reliability of aero-engine have been paid more and more attention. As the core power of aircraft, the performance of aeroengine is directly related to the flight performance, reliability and safety of passengers. Virtual reality technology can effectively reduce the cost of product research and development, and has been widely used in various manufacturing industries in recent years. In order to ensure the reliability of aero-engine, ensure its safe operation and reduce its maintenance cost, this paper is supported by the project of National Natural Science Foundation of China "Research on Fault Prediction and optimal maintenance of complex Electromechanical system based on Virtual reality Technology". Based on virtual reality technology, the problem of aero-engine mechanical fault diagnosis is studied. Firstly, the failure mechanism of mechanical system of aero-engine is studied, and the fault mechanism, common fault types and causes of transmission system, lubricating oil system, sealing system and spindle bearing in mechanical system are analyzed and studied respectively. Explore the possible malfunctions of aero-engines and the locations where they are likely to occur. The parameterized model of aero-engine is established by using virtual reality technology, which provides the foundation for simulation of aero-engine operation and fault reappearance. Secondly, in the virtual environment, the boundary conditions and constraints are determined, and the real working process of aero-engine is simulated, and the method of aero-engine mechanical fault reconstruction is studied. Using the method of combining virtual reality platform EON Studio and LS-DYNA, the mechanical fault is reproduced in virtual reality platform, and the fault location is determined by virtual reproducing method. Finally, according to the prior knowledge and historical information, a confidence rule base method based on evidential reasoning algorithm is established. The fault diagnosis model of aero-engine fan caused by external object impact is taken as an example, and the fault diagnosis example is analyzed. Simulation experiments and examples verify the correctness of the established fault diagnosis model and the combination of virtual reality technology and aero-engine mechanical fault diagnosis method, which provides a reference for aero-engine mechanical fault diagnosis.
【学位授予单位】:长春工业大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:V263.6
【参考文献】
相关期刊论文 前10条
1 高倩,李正顺;计算机辅助设计和制造波音777飞机[J];飞航导弹;1995年04期
2 张连祥;提高航空发动机可靠性的途径[J];航空发动机;2002年02期
3 宋辉;李晓明;宋文波;;航空发动机健康评估技术综述[J];航空发动机;2011年02期
4 陈光;航空发动机发展综述[J];航空制造技术;2000年06期
5 史铁林,陈勇辉,李巍华,熊良才,廖广兰;提高大型复杂机电系统故障诊断质量的几种新方法[J];机械工程学报;2003年09期
6 陈光;;大飞机的“心脏”[J];航空知识;2007年06期
7 W.CE;WR—21舰用燃气轮机[J];军民两用技术与产品;2001年03期
8 司小胜;胡昌华;周志杰;;基于证据推理的故障预报模型[J];中国科学:信息科学;2010年07期
9 王施;王荣桥;陈志英;樊江;申秀丽;;航空发动机健康管理综述[J];燃气涡轮试验与研究;2009年01期
10 周志杰;胡昌华;周东华;;基于非解析模型的动态系统故障预报技术[J];信息与控制;2006年05期
相关博士学位论文 前2条
1 任淑红;民航发动机性能可靠性评估与在翼寿命预测方法研究[D];南京航空航天大学;2010年
2 成玫;转子—轴承—密封系统动力学特性研究[D];上海交通大学;2009年
相关硕士学位论文 前4条
1 王海强;航空发动机主轴轴承动力学应用技术的研究[D];沈阳航空航天大学;2011年
2 欧卫林;某航空发动机传动系统的动力学研究及其振动控制[D];西北工业大学;2005年
3 赵琳;航空发动机教学实验视景仿真系统[D];西北工业大学;2007年
4 张弛;航空发动机轴系轴承试验器设计与系统耦合力学特性研究[D];哈尔滨工业大学;2013年
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