基于深度学习的自动化控制系统故障诊断与预测分析

Analysis of Fault Diagnosis and Prediction in Automation Control Systems Based on Deep Learning

阐述一种基于深度学习技术的自动化控制系统故障诊断与预测模型,将时间序列数据转换为图像数据,通过卷积神经网络对图像数据进行处理。实验结果表明,其具有较高的准确性和稳定性。

This paper expounds a fault diagnosis and prediction model for automated control systems based on deep learning technology,which converts time series data into image data and processes the image data through convolutional neural networks.The experimental results indicate that it has high accuracy and stability.