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In order to solve the problem of a lack of supportive means for evaluating the resilience of battle damage equipment, a Bayesian network cloud model is proposed to evaluate the resilience of battle damage equipment. The equipment functional features are analyzed to establish the equipment functional state evaluation model. Moreover, the samples of Bayesian network parameters training are obtained by inserting the results of battle damage simulation into the functional evaluation model. The simulation flow of parts state recovery probability is designed to determine the relationship between parts’ functional state and time. Based on the cloud model, the transformation model of functional state level probability to functional index is established. Hence, the equipment functional state level probability obtained by Bayesian network reasoning is transformed into a functional index and the transformation from uncertainty to certainty is realized. Considering self-propelled artillery as the object of resilience evaluation, the results of numerical examples show that by this method, the problem of equipment resilience evaluation can be effectively solved, and more information can be obtained by the accurate representation method compared to the traditional Bayesian network probabilistic evaluation results. This is greatly significant to the wartime maintenance support decision.

This paper discusses the development of the research field of EMP damage C4I system and computer protection, introduces the mechanism and damage effect of EMP weapons damage C4I system in recent years, especially the damage to C4I computer system, and makes a detailed introduction to the computer anti-damage protection technology [1]. It is suggested that China should strengthen the research in relevant research fields, keep tracking and studying the advanced technology of various countries, so as to attract the attention of this research and provide support for strengthening the anti-damage technology.

In view of the problem that the randomness of maintenance time of functional units cannot be considered in traditional system maintainability evaluation, this paper firstly analyzes the general process of system task maintainability evaluation and determines the basic method of task maintainability evaluation. Then, aiming at the problem that it is difficult to solve the problem analytically when several functional units fail at the same time, a task maintainability evaluation algorithm based on simulation is proposed. Finally, an example is given to illustrate the effectiveness and practicability of the proposed method.