Abstract: There are lots of factors from human, machine and environment involved in aircraft-deck landing process, and the factors show multivariable nonlinearity and strong coupling, which brings some difficulty to real-time and effective safety monitoring, identification and decision-making to aircraft-deck landing process. To solve the problem, the principle of multi-dimensional state space to safety was expressed, and multivariable statistics analysis (MSA) was introduced to put forward a method with which the model of multi-dimensional state space to safety could be established and applied on systems analysis, so that the safety characteristics embedded in system state information could be discovered. The deck landing process of a type of USA aircraft was illustrated, characteristic variables that influence aircraft-deck landing safety were extracted based on statistical data, its multi-dimensional state space model describing aircraft-deck landing safety was established, and dimension of the space and the corresponding state variables were identified. The method supported aircraft-deck landing safety analysis, monitoring and decision-making with a reasonable and simplified data processing, and the case analysis result accorded approximately with reality, which demonstrated practicability and credibility of the method.