Linear discriminate analysis and k-nearest neighbor based diagnostic analytic of harmonic source identification
| Main Authors: | Mohd Hatta Jopri, Abdul Rahim Abdullah, Mustafa Manap, Mohd Badril Nor Shah, Tole Sutikno, Jingwei Too |
|---|---|
| Format: | Article eJournal |
| Terbitan: |
, 2021
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/4506261 |
| ctrlnum |
4506261 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Mohd Hatta Jopri</creator><creator>Abdul Rahim Abdullah</creator><creator>Mustafa Manap</creator><creator>Mohd Badril Nor Shah</creator><creator>Tole Sutikno</creator><creator>Jingwei Too</creator><date>2021-02-01</date><description>The diagnostic analytic of harmonic source is crucial research due to identify and diagnose the harmonic source in the power system. This paper presents a comparison of machine learning (ML) algorithm known as linear discriminate analysis (LDA) and k-nearest neighbor (KNN) in identifying and diagnosing the harmonic sources. Voltage and current features that estimated from time-frequency representation (TFR) of S-transform analysis are used as the input for ML. Several unique cases of harmonic source location are considered, whereas harmonic voltage (HV) and harmonic current (HC) source type-load are used in the diagnosing process. To identify the best ML, each ML algorithm is executed 10 times due to prevent any overfitting result and the performance criteria are measured consist of the accuracy, precision, geometric mean, specificity, sensitivity, and F-measure are calculated.</description><identifier>https://zenodo.org/record/4506261</identifier><identifier>10.11591/eei.v10i1.2686</identifier><identifier>oai:zenodo.org:4506261</identifier><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><source>Bulletin of Electrical Engineering and Informatics 10(1) 171-178</source><subject>Harmonic current source</subject><subject>Harmonic voltage source</subject><subject>K-nearest neighbor</subject><subject>Linear discriminate analysis</subject><subject>S-transform</subject><title>Linear discriminate analysis and k-nearest neighbor based diagnostic analytic of harmonic source identification</title><type>Journal:Article</type><type>Journal:Article</type><recordID>4506261</recordID></dc>
|
| format |
Journal:Article Journal Journal:eJournal |
| author |
Mohd Hatta Jopri Abdul Rahim Abdullah Mustafa Manap Mohd Badril Nor Shah Tole Sutikno Jingwei Too |
| title |
Linear discriminate analysis and k-nearest neighbor based diagnostic analytic of harmonic source identification |
| publishDate |
2021 |
| topic |
Harmonic current source Harmonic voltage source K-nearest neighbor Linear discriminate analysis S-transform |
| url |
https://zenodo.org/record/4506261 |
| contents |
The diagnostic analytic of harmonic source is crucial research due to identify and diagnose the harmonic source in the power system. This paper presents a comparison of machine learning (ML) algorithm known as linear discriminate analysis (LDA) and k-nearest neighbor (KNN) in identifying and diagnosing the harmonic sources. Voltage and current features that estimated from time-frequency representation (TFR) of S-transform analysis are used as the input for ML. Several unique cases of harmonic source location are considered, whereas harmonic voltage (HV) and harmonic current (HC) source type-load are used in the diagnosing process. To identify the best ML, each ML algorithm is executed 10 times due to prevent any overfitting result and the performance criteria are measured consist of the accuracy, precision, geometric mean, specificity, sensitivity, and F-measure are calculated. |
| id |
IOS17403.4506261 |
| institution |
Universitas PGRI Palembang |
| institution_id |
189 |
| institution_type |
library:university library |
| library |
Perpustakaan Universitas PGRI Palembang |
| library_id |
587 |
| collection |
Marga Life in South Sumatra in the Past: Puyang Concept Sacrificed and Demythosized |
| repository_id |
17403 |
| city |
KOTA PALEMBANG |
| province |
SUMATERA SELATAN |
| repoId |
IOS17403 |
| first_indexed |
2022-07-26T01:35:09Z |
| last_indexed |
2022-07-26T01:35:09Z |
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dc |
| _version_ |
1739406781057073152 |
| score |
17.608967 |