基于大数据算法模型的电力运维故障诊断方法研究

Research on Fault Diagnosis Equipment of Power Operation and Maintenance Based on Big Data Algorithm Model

文章研究了一种基于大数据的深度学习模型,将其应用于电力运维故障诊断设备中。该模型通过整合卷积神经网络(Convolutional Neural Networks,CNN)和递归神经网络(Recurrent Neural Network,RNN),可以快速且精准地诊断电力设备故障,从而提高电力系统的可靠性和运行效率。

This article studies a deep learning model based on big data algorithm model and applies it to power operation and maintenance fault diagnosis equipment.By integrating Convolutional Neural Network(CNN)and Recurrent Neural Network(RNN)technology,this model aims to achieve fast and accurate diagnosis of power equipment faults,thereby improving the reliability and operational efficiency of the power system.