基于深度学习的高压电气柜缺陷检测算法分析
Analysis of Defect Detection Algorithm for High-voltage Electrical Cabinets Based on Deep Learning
魏晋 1郭石开 1张立敏 1高尔栋1
作者信息
- 1. 内蒙古京海煤矸石发电有限责任公司,内蒙古 016000
- 折叠
摘要
阐述构建一个全面的高压电气柜缺陷数据集,包括多种环境条件和缺陷类型.同时设计一种基于卷积神经网络的模型架构,并进行系列优化操作.实验表明,模型在测试集上取得良好表现.
Abstract
This paper describes the construction of a comprehensive dataset of defects in high-voltage electrical cabinets,including various environmental conditions and defect types.At the same time,it designs a model architecture based on convolutional neural networks and performs a series of optimization operations.The experiment showed that the model achieved excellent performance on the test set.
关键词
深度学习/高压电气柜/缺陷检测/算法分析Key words
deep learning/high-voltage electrical cabinets/defect detection/algorithm analysis引用本文复制引用
出版年
2024
NETL
NSTL
万方数据