Research on method of human failure prediction in the process of landing manned submersibles

To ascertain the influence of the cognitive reliability of the aquanaut on two landing types of a manned submersible, this paper uses a human reliability analysis to research the human factor involved in the process of manned submersible landing. Research combined with the human-machine-environment characteristics of the manned submersible are used to analyze the oceanaut's task and cognitive process in two landing modes. The improved CREAM method is employed in a series and in a parallel hybrid system model of cognitive reliability, to predict the probability of cognitive failure in the oceanaut's operation. Results show similar cognitive differences with both landing types of the submersible and that the failure probability is acceptable. This paper represents theoretical support for manned submersibles with respect to security design, personnel training, accident prediction, and reliability evaluation.