基于虛擬現(xiàn)實(shí)技術(shù)的航空發(fā)動(dòng)機(jī)機(jī)械故障診斷研究
[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.
【學(xué)位授予單位】:長(zhǎng)春工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類(lèi)號(hào)】:V263.6
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