A Method for Fault Detection in Multi-Component Systems Based on Sparse Autoencoder-Based Deep Neural Networks

2021 ◽  
pp. 108278
Author(s):  
Zhe Yang ◽  
Piero Baraldi ◽  
Enrico Zio
Keyword(s):  
Neural Networks ◽  
Fault Detection ◽  
Deep Neural Networks ◽  
Component Systems ◽  
Sparse Autoencoder

Deep Neural Networks-based Air Data Sensors Fault Detection for Aircraft

2021 ◽  
Author(s):  
Yiqun Dong ◽  
Jiongran Wen ◽  
Youmin Zhang ◽  
Jianliang Ai
Keyword(s):  
Neural Networks ◽  
Fault Detection ◽  
Deep Neural Networks

Intelligent Fault Detection Scheme for Microgrids With Wavelet-Based Deep Neural Networks

2019 ◽  
Vol 10 (2) ◽  
pp. 1694-1703 ◽  
Author(s):  
James J. Q. Yu ◽  
Yunhe Hou ◽  
Albert Y. S. Lam ◽  
Victor O. K. Li
Keyword(s):  
Neural Networks ◽  
Fault Detection ◽  
Deep Neural Networks ◽  
Detection Scheme

scholarly journals Real-time Deep Neural Networks for internet-enabled arc-fault detection

2018 ◽  
Vol 74 ◽  
pp. 35-42 ◽  
Author(s):  
Joshua E. Siegel ◽  
Shane Pratt ◽  
Yongbin Sun ◽  
Sanjay E. Sarma
Keyword(s):  
Neural Networks ◽  
Fault Detection ◽  
Real Time ◽  
Deep Neural Networks

Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT

2018 ◽  
Author(s):  
Alex Hernández-García ◽  
Johannes Mehrer ◽  
Nikolaus Kriegeskorte ◽  
Peter König ◽  
Tim C. Kietzmann
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Data Augmentation

Representation of adversarial images in deep neural networks and the human brain

2018 ◽  
Author(s):  
Chi Zhang ◽  
Xiaohan Duan ◽  
Ruyuan Zhang ◽  
Li Tong
Keyword(s):  
Neural Networks ◽  
Human Brain ◽  
Deep Neural Networks
Sign in / Sign up

Export Citation Format

Share Document