训练机关键维修实践中的混合人为错误评估方法

IF 1 4区 心理学 Q4 PSYCHOLOGY, APPLIED
E. Yazgan, E. Delice
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引用次数: 2

摘要

摘要目的提出了一种混合人为错误评估(HHEA)方法来确定飞机维修技师(AMT)在飞机维修过程中发生错误的概率。人为错误评估与减少技术(HEART)是第一代经验人的可靠性分析(HRA)方法。虽然这项技术在几个行业中使用,但在计算amt错误的概率时,并没有使用HEART评估amt的错误,也没有考虑错误产生条件(EPCs)的相互作用。方法结合HEART和分析网络过程(ANP)方法,通过计算每个EPC对人为错误概率(HEP)的影响评估比例,提出HHEA,以降低专家判断的主观性。该模型已应用于塞斯纳172系列飞机最重要的主要控制面之一的升降舵的维护中。结果3个子任务的HEP值均高于平均HEP值。由于时间压力、恶劣的环境条件和重复性任务,这些子任务发生人为错误的可能性最高。结论本研究可以指导其他飞机维修机构在关键维修实践中采用这种集成人为可靠性评估方法,以提高飞行安全并最大限度地减少人为错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid Human Error Assessment Approach for Critical Aircraft Maintenance Practice in the Training Aircraft
ABSTRACT Objective In this study, a hybrid human error assessment (HHEA) approach is proposed to determine the probability of aircraft maintenance technician (AMT) error occurring during aircraft repair. Background The human error assessment and reduction technique (HEART) is the first-generation empirical human reliability analysis (HRA) approach. Although this technique is used in several industries, AMTs’ errors have not been assessed with HEART and interactions of error-producing conditions (EPCs) have not been considered in calculating the probability of AMTs’ errors. Method HHEA is proposed to reduce the subjectivity of experts’ judgments by calculating assessed proportion of affect of each EPC on human error probability (HEP) integrating HEART and the analytic network process (ANP) method. The proposed model has been applied in the maintenance of the elevator, which is one of the most important primary control surfaces for the Cessna 172 Series aircraft type. Results The HEP values of 3 subtasks are found to be higher than the average HEP value. These subtasks have the highest probability of human error due to time pressure, poor environmental conditions, and being a repetitive task. Conclusion This study could guide other aircraft maintenance organizations using this integration of human reliability assessment approach for critical maintenance practices to enhance flight safety and minimize human error.
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CiteScore
2.80
自引率
7.70%
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