Abstract
Based on Bayesian network, this paper establishes a human factor analysis tool-Human Factor Classification and Reliability Analysis (HFCRA) model, and analyzes the key factors of human error in power enterprises by combining the human events and data of power safety over the years The research shows that the root causes of human error in electric power enterprises are mainly organizational defects of external human factors and poor personal ability of internal human factors Among them, poor education, training, organizational culture and organizational management quality are the key sub-causes of organizational defects. The lack of basic operation skills and experience knowledge of operators is the key sub-cause of poor personal ability. We should focus on these two kinds of human factors and take corrective measures The internal and external factors of human factors have the characteristics of mutual restriction and transformation, so the occurrence of operational errors in power enterprises should be avoided systematically.
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