Wavelet neural network method for fault diagnosis of push-pull circuits

2005 ◽  
Author(s):  
Zhi-Yong Luo ◽  
Zhong-Ke Shi
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Wavelet Neural Network ◽  
Neural Network Method ◽  
Network Method

Airborne Oxygen-Making System Drift Oxygen Sensor Characteristics for Fault Diagnosis Strategy

2013 ◽  
Vol 347-350 ◽  
pp. 371-375
Author(s):  
Xiang Yan Luo ◽  
Jun Bin Cao ◽  
Jun Qing Cao
Keyword(s):  
Neural Network ◽  
Feature Extraction ◽  
Fault Diagnosis ◽  
Software Design ◽  
Oxygen Sensor ◽  
Wavelet Packet ◽  
Wavelet Neural Network ◽  
Wavelet Packet Analysis ◽  
Neural Network Method ◽  
Network Method

This paper focuses on airborne oxygen-making system shortcomings of oxygen sensor characteristic drift in, proposes a method of fault diagnosis. Oxygen sensor with a Wavelet packet analysis of feature extraction, based on wavelet neural network method to determine whether the sensor has failed, and sensor to detect hardware and software design are given.

scholarly journals A Jointed Signal Analysis and Convolutional Neural Network Method for Fault Diagnosis

Procedia CIRP ◽  
2018 ◽  
Vol 72 ◽  
pp. 1084-1087 ◽  
Author(s):  
Long Wen ◽  
Liang Gao ◽  
Xinyu Li ◽  
Lihui Wang ◽  
Jichu Zhu
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Convolutional Neural Network ◽  
Signal Analysis ◽  
Neural Network Method ◽  
Network Method
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