Analogue circuit fault diagnosis based on convolution neural network-Reference-Cited by-同舟云学术

Analogue circuit fault diagnosis based on convolution neural network

Published:2019-11 Issue:24 Volume:55 Page:1277-1279
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electron. lett.

Author:

Du Tao¹,Zhang Hao¹,Wang Ling¹^ORCID

Affiliation:

1. College of Mechanical and Electrical Engineering, Henan Agricultural UniversityZhengzhou450002People's Republic of China

Funder

China Postdoctoral Science Foundation

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2019.2892

Reference6 articles.

1. Analog circuit soft‐fault diagnosis based on sensitivity analysis with minimum fault number rule;Ji L.;Analog Integr. Circuits Signal Process.,2018

2. Research on WNN soft fault diagnosis for analog circuit based on adaptive UKF algorithm;Xu‐Sheng G.;Appl. Soft Comput.,2017

3. Signal model‐based fault coding for diagnostics and prognostics of analog electronic circuits;Liu Z.;Trans. Ind. Electron.,2017

4. Capturing high‐discriminative fault features for electronics‐rich analog system via deep learning;Liu Z.;Trans. Ind. Inf.,2017

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