Fault Tree Simulation Analysis Source Code Based on Monte Carlo Method
Application Background: Quantitative calculation of top event probability is a crucial aspect of fault tree analysis. Traditional formula-based approaches often involve heavy computational loads, complex procedures, and high error susceptibility. This project implements Monte Carlo simulation for fault tree models to accurately compute top event probabilities and other reliability metrics. Practical examples demonstrate this method's simplicity, high precision, and significant value for complex system reliability analysis. Key Technologies: Based on digital relay protection system functionality and operational characteristics, this research proposes a quantitative analysis method for dynamic reliability assessment. The approach helps identify system vulnerabilities and improve protection design/operation reliability through established metrics including cumulative failure probability, availability, and component importance measures.