摘要
本文针对TE过程,在传统深度学习基础上,对近年基于深度学习集合型故障诊断方法进行了归纳综述,阐述了现有深度集合型故障诊断方法的结构特点,展望了该领域的发展趋势,为工业过程故障诊断的进一步研究提供了参考。
Aiming at the TE process,this paper summarizes the collective fault diagnosis methods based on deep learning in recent years on the basis of traditional deep learning,expounds the structural characteristics of the existing deep collective fault diagnosis methods,and looks forward to the development trend of the field It provides a reference for the further research of industrial process fault diagnosis.
作者
杨青
罗登
YANG Qing;LUO Deng(School of Automation and Electrical Engineering,Shenyang Ligong University,Shenyang Liaoning 110159)
出处
《数字技术与应用》
2020年第12期41-43,共3页
Digital Technology & Application
关键词
故障诊断
深度学习
TE过程
集合方法
fault diagnosis
deep learning
TE process
ensemble method