Human Reliability Analysis Method on Armored Vehicle System Considering Error Correction

• Published in: Shanghai jiao tong da xue xue bao Vol. 21; no. 4; pp. 472 - 477
• Main Author: 伊枭剑 董海平 董笑 姜基平 张忠
• Format: Journal Article
• Language: English
• Published: Shanghai Shanghai Jiaotong University Press 01.08.2016
• Subjects: Analytic hierarchy process; Architecture; Armored vehicles; Computer Science; Confidence intervals; Criteria; Electrical Engineering; Engineering; Error correction; Human error; Life Sciences; Materials Science; Mathematical models; Reliability analysis; 人的可靠性分析; 可靠性分析方法; 定量分析模型; 层次分析法; 装甲; 误差修正; 车辆系统; 马尔可夫过程; cognitive reliability and error analysis method (CREAM); A; TB 114.3; human reliability analysis (HRA); error correction; armored vehicle system
• ISSN: 1007-1172; 1995-8188
• DOI: 10.1007/s12204-016-1749-5

Human reliability analysis （HRA） is an expansion of man-machine engineering. It is also a new multi- disciplinary based on behavioral science, cognitive science, information processing, system analysis and probability statistics in order to analyze, predict, reduce and prevent human errors. Firstly, the quantitative analysis model of HRA is proposed based on Markov process theory by using human error probability （HEP） and error correction cycle （ECC） as parameters. And human reliability evaluation criterion is built. Then, the HRA process considering error correction is proposed based on cognitive reliability and error analysis method （CREAM）. Finally, according to the characteristics of armored vehicle system, common performance condition （CPC） in CREAM is improved. A reliability impact index is characterized by the overall contexts of tasks. Human reliability evaluation criterion of armored vehicle system is formulated. And the result of HRA is obtained based on the method presented in this paper. In addition, the relative weights are estimated by combining scale of 10/10--18/2 and analytical hierarchy process （AHP）, and the triangular fuzzy number considering confidence factor and optimism index is adopted in order to reduce the subjectivity. The analysis results show that the method presented in this paper is reasonable and feasible. Meantime, the method can provide guidance for human reliability analysis of other weapon systems.