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Partial Discharge Localization through k-NN and SVM
Permit Mathuhu Sekatane
,
Pitshou Bokoro
Electrical and Electronic Engineering Technology
University of Johannesburg
Research output
:
Contribution to journal
›
Article
›
peer-review
15
Citations (Scopus)
Overview
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Dive into the research topics of 'Partial Discharge Localization through k-NN and SVM'. Together they form a unique fingerprint.
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Biochemistry, Genetics and Molecular Biology
Electric Potential
100%
Support Vector Machine
100%
K Nearest Neighbor
100%
Solution and Solubility
50%
Engineering
Dissolved Gas
100%
Support Vector Machine
100%
Nearest Neighbor
50%
Power Transformer
50%
Transmissions
25%
Classification Performance
25%
Mathematics
Missing Value
100%
Support Vector Machine
100%
Dissolved Gas
80%
Nearest Neighbor
40%
Computer Science
k-Nearest Neighbors Algorithm
100%
Support Vector Machine
100%
Discriminatory Power
50%
Classification Performance
50%
Keyphrases
Partial Discharge Localization
100%
High Voltage Apparatus
40%
Partial Discharge Sources
20%
Imputation Techniques
20%
Discharge Analysis
20%
Partial Discharge Detection
20%