卷积神经网络信号处理在变电故障诊断与预测中的应用
Application of Convolutional Neural Network Signal Processing in Substation Fault Diagnosis and Prediction
周文磊1
作者信息
- 1. 国网吉林省电力有限公司吉林供电公司,吉林 132000
- 折叠
摘要
阐述卷积神经网络(CNN)在信号处理中的应用,分析变电检修故障诊断与预测的关键问题,提出基于CNN的解决方法.探讨CNN性能优化方案,包括优化网络结构、数据增强技术和参数调整.
Abstract
This paper describes the application of Convolutional Neural Networks(CNN)in signal processing,analyzes the key issues of fault diagnosis and prediction in substation maintenance,and proposes a CNN based solution.It explores CNN performance optimization solutions,including optimizing network structure,data augmentation techniques,and parameter tuning.
关键词
卷积神经网络/信号处理/变电检修/故障诊断/性能优化Key words
convolutional neural network/signal processing/substation maintenance/fault diagnosis/performance optimization引用本文复制引用
出版年
2024
NETL
NSTL
万方数据