文章基本信息

标题：Integrated Power System Health Assessment of Large-Scale Unmanned Surface Ships Based on Convolutional Neural Network Algorithm
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作者：Lei Shang ; Yanming Cheng
期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2018
卷号：170
期号：4
页码：042052
DOI：10.1088/1755-1315/170/4/042052
语种：English
出版社：IOP Publishing
摘要：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.