Evaluation of Truncation Error in Minimal Cut Set-Based Fault Tree Analysis

Truncation neglecting low-probability cut sets is usually applied to determine the minimal cut sets of a manageable size in probabilistic safety assessment (PSA). The truncation error has been of great concern in PSAs because risk and important measures are only computed from an incomplete cut set equation. A truncation error evaluation method, which is based on Monte Carlo techniques and the characteristics of coherent reliability systems, is proposed in this paper. The applicability and accuracy of the proposed method are described