Quantitative Risk Analysis of Disconnect Operations in a Marine Nuclear Power Platform Using Fuzzy Bayesian Network

Marine nuclear power platforms can continuously supply electricity and fresh water for marine resource exploration surrounding islands. China’s first platform uses a soft yoke multi-joint connect mode as the mooring positioning device. When needs repair, maintenance, fuel replacement, or different operation area, disconnect must be carried out. The traditional process consists of four stages: cable limiting, offloading, dropping, equipment recovery stages. entire is high-risk nuclear-related that could result in collision accident between hull structure, resulting leaks casualties. Therefore, it necessary to evaluate risk factors assess level together with consequence each risk. In this paper, quantitative analysis operations out based on fuzzy Bayesian network approach events stage operations. Based forward inference, criticality event evaluated compared. main may cause are then determined reverse inference rule. results indicate human error most likely factor leading failure process, requiring strict control personnel procedures during process. colliding stern antifriction chain-breaking significant hazards caused by failing. Thus, distance hull, tug tensile force, maintenance chain should receive particular attention.