High-speed rail traveling equipment fault situation assessment method, system and equipment and medium

The invention discloses a high-speed railway traveling equipment fault situation assessment method. The method comprises the steps of comprehensively analyzing high-speed railway traveling equipment faults, determining a high-speed railway traveling equipment fault influence factor set, judging influence degrees among factors, determining a direct influence matrix among the factors, and constructing a high-speed railway traveling equipment fault influence factor multi-layer hierarchical structure model; determining an influence factor risk state, and constructing a fuzzy polymorphic Bayesian network based on a multi-layer hierarchical structure model; based on the generalized trapezoidal fuzzy number, calculating a fuzzy polymorphic Bayesian network node probability, and performing fuzzy polymorphic Bayesian network parameter learning; and based on fuzzy polymorphic Bayesian network learning and reasoning, evaluating the fault situation of the high-speed railway train operation equipment. The invention furthe