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充电桩故障的神经网络动态追踪与巡检技术分析

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阐述针对充电桩故障的动态追踪数字化巡检问题,提出基于神经网络的关键技术.通过构建和训练一个神经网络模型,实现对充电桩故障的准确预测和动态追踪,并实验验证该技术的有效性.
Analysis of Neural Network Dynamic Tracking and Inspection Techniques for Charging Station Faults
This paper describes the dynamic tracking digital inspection problem for charging station faults and proposes key technologies based on neural networks.By constructing and training a neural network model,it achieves accurate prediction and dynamic tracking of charging station faults,and experimentally verifies the effectiveness of this technology.

intelligent controlcharging station failuredynamic trackingdigital inspection

吴俊菁、何平、陈吉

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国网上海奉贤供电公司,上海 201400

智能控制 充电桩故障 动态追踪 数字化巡检

2024

集成电路应用
上海贝岭股份有限公司

集成电路应用

影响因子:0.132
ISSN:1674-2583
年,卷(期):2024.41(3)
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