A Fuzzy CREAM Method for Human Reliability Analysis in Digital Main Control Room of Nuclear Power Plants. (3rd April 2022)

• Record Type: Journal Article
• Authors: Yao, Kai; Yan, Shengyuan; Tran, Cong Chi
• Is Part Of: Nuclear technology. Volume 208:Number 4(2022)
• Page Start: 761
• Page End: 774
• Publication Date: 2022-04-03
• Subjects: Human error -- human reliability analysis -- CREAM -- fuzzy CREAM -- common performance conditions; Nuclear engineering -- Periodicals; Nuclear engineering; Nuclear Physics; Periodicals; Periodicals; 621.48
• DOI: 10.1080/00295450.2021.1947123
• Languages: English
• ISSNs: 1943-7471

Abstract

Abstract: Human error is an important factor leading to nuclear power plant (NPP) accidents. The increasing of the amount of information improves the operators' human error probability (HEP) in the digital main control room of NPPs. Human reliability analysis (HRA) is considered to be an effective method to reduce human error. The Cognitive Reliability and Error Analysis Method (CREAM) is one of the widely accepted HRA methods. However, there are shortcomings that weaken the applicability of this method. Therefore, this research proposes a fuzzy CREAM method based on a combination of fuzzy logic theory and the CREAM method. The study considers the weight of common performance conditions (CPCs) and constructs a logical relationship between CPCs and control modes. Finally, the effectiveness of the proposed method is determined using a widely accepted method to validate the evaluation results. The validated results showed that the evaluation result has a consistency between the fuzzy CREAM method and the traditional CREAM method. They indicated that the fuzzy CREAM method can obtain reliable HEP.