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基于深度神经网络的智能化充电桩故障诊断研究

Research on Fault Diagnosis of Intelligent Charging Pile Based on Deep Neural Network
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摘要 现代化科学技术的快速发展使得人工智能技术的应用越来越广泛,现阶段智能化清洁能源汽车正在逐渐进入大家的视野,智能化充电桩是智能新能源汽车行业的关键装备与技术。针对智能化充电桩故障多发的现状,提出一种基于深度神经网络的智能化充电桩故障诊断方法,对智能化充电桩输出电压进行监测,实现充电桩故障实时诊断。 The rapid development of modern science and technology has made the application of artificial intelligence technology more and more extensive.At this stage,intelligent and clean energy vehicles are gradually entering everyone's field of vision.Intelligent charging piles are the key equipment and technology in the intelligent new energy vehicle industry.In view of the current situation of frequent faults of intelligent charging piles,this paper proposes a fault diagnosis method of intelligent charging piles based on deep neural network,which realizes real-time diagnosis of faults of charging piles by monitoring the output voltage of intelligent charging piles.
作者 王娟 饶晶晶 Wang Juan;Rao Jing-jing
出处 《今日自动化》 2022年第12期45-47,共3页 Automation Today
关键词 深度学习 神经网络 充电桩 故障诊断 deep learning neural network charging pile fault diagnosis
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