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Wavelet neural network approach for fault diagnosis of analogue circuits
Y. Sun
, Y. He
, Y. Tan
School of Physics, Engineering & Computer Science
Department of Engineering and Technology
Centre for Engineering Research
Communications and Intelligent Systems
Research output
:
Contribution to journal
›
Article
›
peer-review
99
Citations (Scopus)
Overview
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Keyphrases
Wavelet Neural Network
100%
Neural Network Method
100%
Analog Circuit Fault Diagnosis
100%
Wavelet Noise
50%
Circuit-based
50%
Sampled Signals
50%
Remove Noise
50%
Wavelet Transform
50%
Active Filter
50%
Data Normalization
50%
Wavelet Decomposition
50%
Noise Removal
50%
Neural Network
50%
Optimal Feature Selection
50%
Principal Coordinate Analysis (PCoA)
50%
Systematic Method
50%
Multiresolution Decomposition
50%
Fault Pattern
50%
Feature Information
50%
Computer Science
Neural Network Approach
100%
Analog Circuit
100%
Fault Diagnosis
100%
Neural Network
100%
Feature Information
50%
Component Analysis
50%
Wavelet Transforms
50%
Principal Components
50%
Wavelet Decomposition
50%
Sampled Signal
50%
Data Normalization
50%
Engineering
Neural Network Approach
100%
Fault Diagnosis
100%
Analog Circuit
100%
Component Analysis
50%
Wavelet Decomposition
50%
Sampled Signal
50%
Principal Components
50%
Optimal Feature
50%
Active Filters
50%
Physics
Neural Network
100%
Wavelet
100%
Wavelet Analysis
25%
Chemical Engineering
Neural Network
100%