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Wavelet transform and artificial intelligence based condition monitoring for GIS
T Lin, R K Aggarwal, C H Kim
Department of Electronic & Electrical Engineering
Research output
:
Contribution to conference
›
Paper
7
Citations (SciVal)
Overview
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Dive into the research topics of 'Wavelet transform and artificial intelligence based condition monitoring for GIS'. Together they form a unique fingerprint.
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Computer Science
Wavelet Transforms
100%
Condition Monitoring
100%
Artificial Intelligence
100%
Neural Network
66%
de-noising
66%
Monitoring System
66%
Classification Accuracy
33%
Transmission Network
33%
Signal Decomposition
33%
Wavelet Family
33%
Pattern Vector
33%
Feature Extraction
33%
Engineering
Condition Monitoring
100%
Switchgear
100%
Artificial Intelligence
100%
Condition Monitoring System
66%
Classification Accuracy
33%
Feature Extraction
33%
Circuit Breaker
33%
Electric Power Transmission Networks
33%
Measured Signal
33%
Daubechies
33%
Isolation Method
33%
Mathematics
Wavelet
100%
Wavelet Transforms
100%
Defectives
66%
Neural Network
66%
Wavelet Analysis
33%
Transmission Network
33%
Multiresolution
33%
Chemical Engineering
Condition Monitoring
100%
Artificial Intelligence
100%
Neural Network
66%
Material Science
Electronic Circuit
100%