摘要
为了减少人为因素导致的航空维修不安全事件发生的概率,从中国民用航空安全信息系统网站获取2018—2020年期间发生的航空不安全事件作为样本,筛选80起维修不安全事件的调查报告,应用HFACS-ME模型开展维修不安全事件人为因素分析,采用卡方检验及让步比分析确定了HFACS-ME各层级因素间的关联性,结论得到5条容易导致航空维修不安全事件的路径,其中路径1“监督不当→作业环境→习惯性违章”影响最为突出,由其导致不安全事件发生的概率为13.3%。并在分析结果的基础上提出了预防不安全事件的措施。
In order to reduce the probability of unsafe aviation maintenance incidents caused by human factors,the aviation unsafe incidents that occurred from 2018 to 2020 are counted.In addition,the report of 80 unsafe maintenance incidents were selected.Simultaneously,HFACS-ME is carried out to analyze the human factor of unsafe maintenance incidents.And using chi-square test and non-concession analysis to determine the correlation between each level of HFACS-ME.According to the research,the five paths,which most likely cause the aviation maintenance unsafe incidents were obtained.Finally,based on the analysis results,the method was put forward to prevent unsafe incidents.
作者
谭鑫
郭豫桐
张凡
晏联璞
贺强
TAN Xin;GUO Yu-tong;ZHANG Fan;YAN Lian-pu;HE Qiang(Civil Aviation Flight University of China,Guanghan,618000,China)
出处
《航空计算技术》
2021年第6期51-54,共4页
Aeronautical Computing Technique
基金
四川省科技计划应用基础研究项目资助(2021YJ0537)
中国民用航空飞行学院大学生创新创业训练计划项目资助(S202110624173)。
