34 An Bayesian Assessment Model for Equipment Techonlogy State

It plays a crucial role to assess grade of damaged equipment in command decision-making of wartime equipment support. However due to uncertainty of reasoning progress and complex equipment structure it become unpractical to construct accurate mathematics model. The method combining Bayesian network and Bayesian decision was introduced, in this model equipment structure was mapped into Bayesian network structure to acquire probability of repair time, and then grade decision was made on Bayesian fuzzy decision. At last power system of some equipment was simulated as an example; the experiment result shows the feasibility and validity of this method in assessing damaged grade.