摘要
为了更好地保障船舶航行安全,避免船舶设备运行故障,提出基于深度学习的舰船电气控制优化方法,结合深度学习理论对船舶电气运行工频信号进行采集,并对采集数据进行频率特征反馈,为保障信号源处理效果,对船舶电气控制设备结构进行优化,以提高船舶电气控制设备处理能和速度,对船舶电气控制数据信息进行高速反馈和交互处理,从而有效保障舰船电气控制效果,最后通过实验证实,基于深度学习的舰船电气控制优化方法可以更好地保障船舶运行稳定性,充分满足研究要求。
In order to better ensure the safety of ship navigation and avoid the operation failure of ship equipment, this paper puts forward the optimization method of ship electrical control based on deep learning, collects the power frequency signal of ship electrical operation combined with deep learning theory, and feedbacks the frequency characteristics of the collected data. In order to ensure the effect of signal source processing, the structure of ship electrical control equipment is optimized, so as to provide reference In order to improve the processing ability and speed of ship electrical control equipment,high-speed feedback and interactive processing of ship electrical control data information are carried out, so as to effectively guarantee the effect of ship electrical control. Finally, through experiments, it is proved that the deep learning optimization method of ship electrical control can better guarantee the stability of ship operation and fully meet the research requirements.
作者
何琪
徐鹏
HE Qi;XU Peng(Zhejiang International Maritime College,Zhoushan 316021,China)
出处
《舰船科学技术》
北大核心
2021年第10期163-165,共3页
Ship Science and Technology
基金
浙江省舟山市科技局公益类科技项目(2020C31032)
关键词
深度学习
舰船
电气控制
运行稳定性
deep learning
ship
electrical control
operation stability
