使用困难报告数据驱动的民用航空器安全状态评价*

doi:10.16265/j.cnki.issn 1003-3033.2021.11.012

中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (11): 85-92.doi: 10.16265/j.cnki.issn 1003-3033.2021.11.012

使用困难报告数据驱动的民用航空器安全状态评价^*

杨晓强副教授, 林湘漪, 蒋澜

中国民用航空飞行学院航空工程学院,四川广汉 618307

收稿日期:2021-08-14 修回日期:2021-10-04 出版日期:2021-11-28 发布日期:2022-05-28
作者简介:杨晓强 (1974—),男,陕西宝鸡人,博士,副教授,主要从事航空安全管理与适航管理等方面的研究。E-mail:yxqtiger@cafuc.edu.cn。
基金资助:
国家自然科学基金资助(U1233202)。

SDR data-driven safety status evaluation of civil aircraft

YANG Xiaoqiang, LIN Xiangyi, JIANG Lan

Aviation Engineering Institute, Civil Aviation Flight University of China, Guanghan Sichuan 618307, China

Received:2021-08-14 Revised:2021-10-04 Online:2021-11-28 Published:2022-05-28

摘要/Abstract

摘要： 为识别民用航空器的安全状态,提出一种基于使用困难报告(SDR)数据的民用航空器安全性状态评价方法。分析A320机型的SDR数据,按照民用航空器系统/部件通用代码分类标准建立航空器安全性状态评价指标体系,并利用指标相关性赋权(CRITIC)法得到各指标权重;应用指标模糊分割模型和全乘比例分析多目标优化方法(MULTIMOORA)构建航空器安全性状态评价模型,并将该模型运用于实例分析。研究结果表明:SDR的发生次数大体上服从正态分布,可确定安全性状态划分标准;优势理论可对比率模型、参照点法、全乘模型的结果综合排序;最终得到的A320机型的安全性状态整体处于中等水平,这一结果与实际情况基本吻合。

关键词: 使用困难报告(SDR), 民用航空器, 安全性状态, 指标模糊分割模型, 全乘比例分析多目标优化方法(MULTIMOORA)

Abstract: To identify safety status of civil aircraft, a safety status evaluation method based on SDR data was proposed. Firstly, SDR data of A320 models were analyzed, and an evaluation index system was constructed according to civil aircraft system/component code classification standards. Then, index weights were obtained by using criteria importance through intercriteria correlation (CRITIC) method. Finally, an evaluation model was constructed on the basis of index fuzzy segmentation and MULTIMOORA, and a case study was conducted by utilizing this model. The results show that the occurrence frequency of SDR generally obeys normal distribution, and classification standards of safety status can be determined. Moreover, advantage theory can comprehensively rank the results of ratio system, reference point method and full multiplicative form. Most of the safety status of A320 aircraft type are in the middle level, which is basically consistent with actual situation.

Key words: service difficulty report (SDR), civil aircraft, safety status, index fuzzy segmentation model, MOORA plus the full multiplicative form (MULTIMOORA)

中图分类号:

X949

杨晓强, 林湘漪, 蒋澜. 使用困难报告数据驱动的民用航空器安全状态评价^*[J]. 中国安全科学学报, 2021, 31(11): 85-92.

YANG Xiaoqiang, LIN Xiangyi, JIANG Lan. SDR data-driven safety status evaluation of civil aircraft[J]. China Safety Science Journal, 2021, 31(11): 85-92.

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使用困难报告数据驱动的民用航空器安全状态评价^*

SDR data-driven safety status evaluation of civil aircraft

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