Research on fault diagnosis based on test resource virtualization

Abstract

Combining with virtualization techniques, the paper proposes a novel architecture for fault diagnosis of weapon system based on test resource virtualization. Through collecting test data from the equipment, the paper applies the Condor and Hadoop techniques to process and achieve the virtualization of test resource. With the fault diagnosis methods applied to the architecture, the diagnosis results are obtained based on the test data and test resource, and artificial intelligence methods are inquired by the computational resource inquiring server to provide the fast computation for fault diagnosis. The original data and diagnosis results are stored in the data center for comparison and also for recalling to train the methods used. With the access between test equipment and the architecture, the architecture can fulfill rapid calculation, improve fault diagnosis efficiency and accuracy, and then reduce life cycle costs.