Abstract
In order to meet the requirement of high reliability of real-time measurement and control system of weapon equipment, the problem of enhancing reliability of the CPCI measurement and real-time control system with wide application at present is researched in depth in this paper. A modeling and application design method being able to provide high system reliability is built by using hot-swap technology, solving many problems in the process of plugging in and out, including static electricity of CPCI cards, power management and protection, etc. A fault prediction modeling and method of real-time measurement and control system of weapon equipment system based on SVM and an SVR regression model are established to conquer the shortages of few fault samples and high accuracy requirements in real-time measurement and control system. The simulation result indicates that the prediction performance of the proposed model and method is better than BP neural network.
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