Neural-network-based approaches for analogue circuit fault diagnosis

2011 ◽  
pp. 83-112
Author(s):  
Yichuang Sun ◽  
Yigang He
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Analogue Circuit ◽  
Circuit Fault Diagnosis

scholarly journals Open-circuit fault diagnosis of traction inverter based on improved convolutional neural network

2020 ◽  
Vol 1633 ◽  
pp. 012099
Author(s):  
Jun Liu ◽  
Junnian Wang ◽  
Wenxin Yu ◽  
Zhenheng Wang ◽  
Guang’an Zhong
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Convolutional Neural Network ◽  
Open Circuit ◽  
Circuit Fault Diagnosis

Neural Network Based Preprocessing and Dictionary Methods for Switched Current Circuit Fault Diagnosis

2017 ◽  
Vol 14 (4) ◽  
pp. 1914-1924
Author(s):  
Long Ying ◽  
Li Zhengda ◽  
Xie Minghua ◽  
Zhang Zhen ◽  
Yuan Lifen
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Switched Current ◽  
Circuit Fault Diagnosis

Application of Fuzzy Neural Network to Analog Circuit Fault Diagnosis

2012 ◽  
Vol 182-183 ◽  
pp. 1179-1183 ◽  
Author(s):  
Shi Guan Zhou ◽  
Zai Fei Luo
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Fuzzy Neural Network ◽  
Analog Circuit ◽  
Training Methods ◽  
Fuzzy Neural ◽  
Circuit Fault Diagnosis ◽  
Specific Implementation ◽  
The Mathematical Model ◽  
And Training

Considering the discreteness and non-linearity of the component parameter and the advancement and limitations of neural network in the analogous circuit fault diagnosis and as the combination of the fuzzy logic and neural network, the fuzzy neural network’s having the merits of both, involving learning, association, recognition, adaptation and fuzzy information processing, a method with fuzzy neural network for the analogous circuit fault diagnosis is proposed. In this paper, the structure and training methods of the fuzzy neural network are presented and the specific implementation of the diagnosis system is illustrated with examples. Simulation results show that the mathematical model has a better diagnostic effect. Compared with other methods, this diagnostic method, with the broad application prospect of its structure and method, is scientific, simple, and practical and so on.

Open-circuit fault diagnosis of power rectifier using sparse autoencoder based deep neural network

2018 ◽  
Vol 311 ◽  
pp. 1-10 ◽  
Author(s):  
Lin Xu ◽  
Maoyong Cao ◽  
Baoye Song ◽  
Jiansheng Zhang ◽  
Yurong Liu ◽  
...  
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Deep Neural Network ◽  
Open Circuit ◽  
Sparse Autoencoder ◽  
Circuit Fault Diagnosis ◽  
Power Rectifier
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