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In present study, a novel naval gun fault prediction system is proposed, which is in order to solve the problem of performance degradation or even failure during mission execution. Based on the Compact RIO data acquisition platform and the Labview development environment, the function of real-time data acquisition, transmission, storage, condition monitoring, and fault prediction is realized. Then, by introducing a edge computing technology architecture, the data processing on Compact RIO and uploads the results returning to a host computer is achieved, some benefits including the reduction of data transmission volume, network bandwidth requirements and the integration of monitoring systems are significant. Thus, this system design can reduce the number maintenance out of plan, the inspection and maintenance costs et al., and it can improve the autonomous maintenance support capability.