Author:
Wang Haisheng,Wei Jian,Li Pengjin
Abstract
Abstract
This paper introduces the basic theory, research status and challenges of fault diagnosis technology based on deep learning, and expounds the great application prospect of fault diagnosis technology based on deep learning.
Subject
General Physics and Astronomy
Reference38 articles.
1. Survey on data driven fault diagnosis methods;Li;Control and Decision,2011
2. Fault detection and diagnosis based on KPCA-CDBNs model;Li
3. Application of Fault Classification Method Based on VAE-DBN in Chemical Process;Zhang;The Chinese Journal of Process Engineering,2018
4. Research on TE process fault diagnosis method based on DBN and dropout;Wei;Canadian Journal of Chemical Engineering,2020
5. Identification of abnormal conditions in high-dimensional chemical process based on feature selection and deep learning;Tian;Chinese Journal of Chemical Engineering,2020
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