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基于重要度的航空器系统定量相似性评估方法

Research on Quantitative Similarity Assessment for Aircraft Systems Based on Importance
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摘要 目前民航飞机机型的更新换代越来越快,新型飞机设备清单的制定也成为了关键。将已有成熟机型的设备清单进行进一步的修改优化后使用,可以加快研发进展,如何界定是否适合优化使用较为困难,因此提出一种基于重要度与余弦相似性理论的航空器系统相似性评估方法。分析波音和空客相似机型的液压系统功能与结构,进行功能危险性评估;建立故障树,根据部件故障发生概率,计算部件概率重要度与关键重要度。根据重要度数据进行余弦相似性计算,结果近似于1,表明相似机型液压系统之间具有一定的相似相关性。方法可以对航空器系统是否相似相关进行判断,提供了依赖已有相似机型进行修改完善新型飞机设备清单的支撑。 With the rapid update and replacement of aircraft models in civil aviation,the development of a new aircraft equipment list has become crucial.To expedite the research and development process,it is beneficial to modify and optimize the equipment list of existing mature aircraft models.However,it is challenging to determine whether such modifications are suitable.Therefore,a similarity evaluation method for aircraft systems based on the theories of importance and cosine similarity is proposed.The hydraulic system functions and structures of similar aircraft models from Boeing and Airbus are analyzed.A functional hazard assessment is conducted,and a fault tree is established.Based on the occurrence probabilities of component failures,the component probability importance and critical importance are calculated.Using these importance data,the cosine similarity is computed.The result,which is close to 1,indicates a certain level of similarity and correlation among the hydraulic systems of similar aircraft models.This method allows for the evaluation of whether aircraft systems are similar and correlated,providing support for modifying and improving the equipment list of new aircraft based on existing similar models.
作者 闫锋 苏忠允 孙有朝 YAN Feng;SU Zhong-yun;SUN You-chao(Civil Aviation Flight University of China,Guanghan 618000,China;Nanjing University of Aeronautics and Astronautics,Nanjing 211000,China)
出处 《航空计算技术》 2024年第1期11-15,20,共6页 Aeronautical Computing Technique
基金 中央高校基本科研业务费专项资金项目资助(J2023-030) 四川省通用航空器维修工程技术研究中心重点项目资助(GAMRC2021ZD04) 中国民用航空飞行学院研究生教育教学研究项目资助(XKJ2022-7)。
关键词 重要度 飞机液压系统 故障数据分析 余弦相似度 importance aircrafthydraulic system fault data analysis cosine similarity
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