Capacitor bank switching classification using scale selection continuous wavelet transform

Capacitor bank switching classification using scale selection continuous wavelet transform is an approach to develop power quality diagnostic feature to analyze the origin and possible cause of transient disturbance in the industry facility. The scale selection wavelet transform selectively perform...

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Main Authors: Tan R.H.G., Ramachandaramurthy V.K.
Other Authors: 35325391900
Format: Conference Paper
Published: 2023
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spelling my.uniten.dspace-308252024-04-18T10:10:22Z Capacitor bank switching classification using scale selection continuous wavelet transform Tan R.H.G. Ramachandaramurthy V.K. 35325391900 6602912020 Capacitor bank Power quality Transient Wavelet transform Capacitance Capacitors Damage detection Feature extraction Power electronics Time domain analysis Wavelet transforms Capacitor bank Capacitor bank switching Continuous Wavelet Transform Diagnostic features Excellent performance First cycle Frequency ranges Scale analysis Scale selection Spectral content Transient disturbances Transient frequency Transient parameter Transient zone Wavelet domain Frequency domain analysis Capacitor bank switching classification using scale selection continuous wavelet transform is an approach to develop power quality diagnostic feature to analyze the origin and possible cause of transient disturbance in the industry facility. The scale selection wavelet transform selectively perform continuous wavelet transform from scale 1 to scale 70 at the dilation interval of one per scale whereby it covers the frequency range from approximately 5.2kHz to 150Hz. This creates a wavelet domain segment known as transient zone. For frequency domain analysis, the transient zone at its scale analysis is used to analyze the transient frequency, energy and spectral content. The wavelet scale which corresponds to the highest energy is used to estimate the transient frequency. For time domain analysis, the wavelet scale 4 time plot was used to locate the instant, where the transient disturbance begins. These selected wavelet scales are used to create a segmentation window to capture the first cycle of the transient to determine its magnitude and duration. The scale selection wavelet shows excellent performance in term of effectively estimating and extracting the transient parameters for analysis and classifying the possible cause of normal, back to back and restrike capacitor bank switching. Final 2023-12-29T07:54:03Z 2023-12-29T07:54:03Z 2009 Conference Paper 10.1109/PEDS.2009.5385785 2-s2.0-77950901307 https://www.scopus.com/inward/record.uri?eid=2-s2.0-77950901307&doi=10.1109%2fPEDS.2009.5385785&partnerID=40&md5=0bb18ba79339d1092adc9ffbe8e6b858 https://irepository.uniten.edu.my/handle/123456789/30825 5385785 950 955 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Capacitor bank
Power quality
Transient
Wavelet transform
Capacitance
Capacitors
Damage detection
Feature extraction
Power electronics
Time domain analysis
Wavelet transforms
Capacitor bank
Capacitor bank switching
Continuous Wavelet Transform
Diagnostic features
Excellent performance
First cycle
Frequency ranges
Scale analysis
Scale selection
Spectral content
Transient disturbances
Transient frequency
Transient parameter
Transient zone
Wavelet domain
Frequency domain analysis
spellingShingle Capacitor bank
Power quality
Transient
Wavelet transform
Capacitance
Capacitors
Damage detection
Feature extraction
Power electronics
Time domain analysis
Wavelet transforms
Capacitor bank
Capacitor bank switching
Continuous Wavelet Transform
Diagnostic features
Excellent performance
First cycle
Frequency ranges
Scale analysis
Scale selection
Spectral content
Transient disturbances
Transient frequency
Transient parameter
Transient zone
Wavelet domain
Frequency domain analysis
Tan R.H.G.
Ramachandaramurthy V.K.
Capacitor bank switching classification using scale selection continuous wavelet transform
description Capacitor bank switching classification using scale selection continuous wavelet transform is an approach to develop power quality diagnostic feature to analyze the origin and possible cause of transient disturbance in the industry facility. The scale selection wavelet transform selectively perform continuous wavelet transform from scale 1 to scale 70 at the dilation interval of one per scale whereby it covers the frequency range from approximately 5.2kHz to 150Hz. This creates a wavelet domain segment known as transient zone. For frequency domain analysis, the transient zone at its scale analysis is used to analyze the transient frequency, energy and spectral content. The wavelet scale which corresponds to the highest energy is used to estimate the transient frequency. For time domain analysis, the wavelet scale 4 time plot was used to locate the instant, where the transient disturbance begins. These selected wavelet scales are used to create a segmentation window to capture the first cycle of the transient to determine its magnitude and duration. The scale selection wavelet shows excellent performance in term of effectively estimating and extracting the transient parameters for analysis and classifying the possible cause of normal, back to back and restrike capacitor bank switching.
author2 35325391900
author_facet 35325391900
Tan R.H.G.
Ramachandaramurthy V.K.
format Conference Paper
author Tan R.H.G.
Ramachandaramurthy V.K.
author_sort Tan R.H.G.
title Capacitor bank switching classification using scale selection continuous wavelet transform
title_short Capacitor bank switching classification using scale selection continuous wavelet transform
title_full Capacitor bank switching classification using scale selection continuous wavelet transform
title_fullStr Capacitor bank switching classification using scale selection continuous wavelet transform
title_full_unstemmed Capacitor bank switching classification using scale selection continuous wavelet transform
title_sort capacitor bank switching classification using scale selection continuous wavelet transform
publishDate 2023
_version_ 1806425557357821952
score 13.222552