基于生存分析的航空发动机机舱可靠性研究

Q3 Earth and Planetary Sciences

Aerospace Systems Pub Date : 2023-03-03 DOI:10.1007/s42401-023-00195-9

Zhili Chen, Xiuhua Chen, Xiaobo Zhang, Jian Chen, Yong Liang

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引用次数: 0

摘要

本文研究了民用飞机发动机短舱的可靠性建模。基于飞机多年来的故障记录数据，分别使用了双参数威布尔模型和Cox比例风险模型。利用MATLAB和SPSS软件对该型号飞机的几个重要设备进行了可靠性建模。并在故障预测中进行了测试，验证了模型和预测方法的可行性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Research on reliability of aero-engine nacelle based on survival analysis

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Research on reliability of aero-engine nacelle based on survival analysis

This paper studies the reliability modeling of civil aircraft engine nacelles. Based on the fault record data of an aircraft over the years, the two-parameter Weibull model and the Cox proportional hazards model are used respectively. On MATLAB and SPSS software, reliability modeling was carried out for several important equipment of this type of aircraft. And it was tested in the fault prediction to verify the feasibility of the model and prediction method.

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来源期刊

Aerospace Systems Social Sciences-Social Sciences (miscellaneous)

CiteScore

1.80

自引率

0.00%

发文量

期刊介绍： Aerospace Systems provides an international, peer-reviewed forum which focuses on system-level research and development regarding aeronautics and astronautics. The journal emphasizes the unique role and increasing importance of informatics on aerospace. It fills a gap in current publishing coverage from outer space vehicles to atmospheric vehicles by highlighting interdisciplinary science, technology and engineering. Potential topics include, but are not limited to: Trans-space vehicle systems design and integration Air vehicle systems Space vehicle systems Near-space vehicle systems Aerospace robotics and unmanned system Communication, navigation and surveillance Aerodynamics and aircraft design Dynamics and control Aerospace propulsion Avionics system Opto-electronic system Air traffic management Earth observation Deep space exploration Bionic micro-aircraft/spacecraft Intelligent sensing and Information fusion