基于关联规则的飞行机组人为差错原因分析  

Cause Analysis of Flight Crew Human Errors Based on Association Rules

作　　者：孟斌[1] 罗晓利[2] MENG Bin LUO Xiaoli(Shenzhen Airlines Limited Liability Company Operation Center, Shenzhen 518128, China Civil Aviation Flight University of China, Ouanghan 6] 8307, China)

机构地区：[1]深圳航空有限责任公司运行中心,深圳518128 [2]中国民用航空飞行学院,广汉618307

出　　处：《上海工程技术大学学报》2017年第3期233-237,共5页Journal of Shanghai University of Engineering Science

摘　　要：为减少由于飞行人为差错而导致的不安全事件,结合飞行任务特点整合优化多种人为差错分类分析模型的指标体系,利用SPSS Clementine 12.0软件对多起典型飞行人为差错不安全事件进行多维关联规则分析,深入挖掘了飞行人为差错致因之间的关联性和影响程度,在此基础上提出"预防—控制—反馈"的人为差错防范技术,对于保障飞行安全具有一定借鉴意义.Aiming to reduce flight unsafe events due to human errors, combined with the characteristics of flight mission,a variety of human error classification analysis model index system was optimized. Many typical flight unsafe events adopts multi-dimensional association rules were analyzed. The relationship between the factors and the degree of influence was digged deeply by SPSS Clementine 12.0. Based on this, the preventive measures of prevention-control-feedback was proposed to reduce flight human errors, which has some reference values to ensure flight safety.

关 键 词：关联规则 人为差错 不安全事件 对策研究 

分 类 号：V321.3[航空宇航科学与技术—人机与环境工程]