Human reliability analysis of high-temperature molten metal operation based on fuzzy CREAM and Bayesian network.

ABSTRACT: Human errors are considered to be the main causation factors of high-temperature molten metal accidents in metallurgical enterprises. The complex working environment of high- temperature molten metal in metallurgical enterprises has an important influence on the reliability of human behavior. A review of current human reliability techniques confirms that there is a lack of quantitative analysis of human errors in high-temperature molten metal operating environments. In this paper, a model was proposed to support the human reliability analysis of high-temperature molten metal operation in the metallurgy industry based on cognitive reliability and error analysis method (CREAM), fuzzy logic theory, and Bayesian network (BN). The comprehensive rules of common performance conditions in conventi

SUBMITTER: Wu Y 

PROVIDER: S-EPMC8328327 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature