Abstract
These paper studies the large unmanned ship of the most advanced electric propulsion method. Its integrated power system is complex in structure with many equipment and often performs long-range operations. The key factor of the large unmanned ship is the integrated power system of healthy operation. This paper analyzes the parameters affecting the health of the system from three aspects: the system parameters, the unmanned ship’s navigation state parameters, and the environmental parameters and designs a kind of unmanned ship integrated power system health based on Evaluation algorithm of convolutional neural network with high accuracy. In this paper, the feasibility and superiority of convolution neural network algorithm are verified through the comparative simulation analysis of BP neural network and deep belief network.
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