A practical guideline for human error assessment: A causal model

1st Conference of Computational Methods in Offshore Technology

计算机科学

Ayele, Y.Z.^1,2 ; Barabadi, A.^2

Faculty of Engineering, Østfold University College, Fredrikstad, Norway^1

Department of Engineering and Safety, UiT, Arctic University of Norway, Tromsø, Norway^2

关键词: Application of Bayesian networks;    Human error assessment;    Maintenance operations;    Maintenance performance;    Operation and maintenance;    Performance monitoring;    Practical guidelines;    System failure rates;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/276/1/012019/pdf
DOI  :  10.1088/1757-899X/276/1/012019

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

To meet the availability target and reduce system downtime, effective maintenance have a great importance. However, maintenance performance is greatly affected in complex ways by human factors. Hence, to have an effective maintenance operation, these factors needs to be assessed and quantified. To avoid the inadequacies of traditional human error assessment (HEA) approaches, the application of Bayesian Networks (BN) is gaining popularity. The main purpose of this paper is to propose a HEA framework based on the BN for maintenance operation. The proposed framework aids for assessing the effects of human performance influencing factors on the likelihood of human error during maintenance activities. Further, the paper investigates how operational issues must be considered in system failure-rate analysis, maintenance planning, and prediction of human error in pre- and post-maintenance operations. The goal is to assess how performance monitoring and evaluation of human factors can effect better operation and maintenance.