Reliability Evaluation for Diesel Generator Cold-Redundancy System Based on a Self-Stratifying Subset Simulation

The fast reliability evaluation method of dynamic fault trees for cold-redundancy systems is studied. A self-stratifying subset simulation method based on the system’s performance function is introduced, and a dynamic reliability simulation model of the cold-redundancy diesel generator system is established. The case study of a diesel generator system shows that the self-stratifying subset simulation method can significantly improve the efficiency of reliability evaluation of the cold-redundancy diesel generator system. The computational efficiency is improved compared to the traditional Monte Carlo Simulation (MCS) method for small probability events, which can provide theoretical and technical references for the rapid reliability evaluation of cold-redundancy systems in industry.