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Performance analysis of wavelet based denoise system for power quality disturbances

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dc.citedby13
dc.contributor.authorTan R.H.G.en_US
dc.contributor.authorRamachandaramurthy V.K.en_US
dc.contributor.authorid35325391900en_US
dc.contributor.authorid6602912020en_US
dc.date.accessioned2023-12-29T07:54:12Z
dc.date.available2023-12-29T07:54:12Z
dc.date.issued2009
dc.description.abstractThe performance analysis of wavelet based denoise system for power quality disturbances including sag, swell, flicker, harmonic, transient and notch is presented in this paper. The denoise algorithm uses Daubechie family wavelet and a universal soft threshold technique applied on the detailed wavelet coefficients based on its standard deviation and data length. This eliminates and reduces the noise content in the signal. Lastly, the inverse discrete wavelet transform is done to reconstruct and recover the denoised PQ disturbance signal. All the disturbance signals are contaminated with Additive White Gaussian Noise of initial noise SNR of 30dB. The wavelet based denoise system in this paper shows excellent performance for sag, swell and flicker, good performance for harmonic, moderate performance for transient and poor performance for notch. The performance analysis presented in this paper provides an understanding of how the power quality disturbance frequency contents and its magnitude effect the performance of the wavelet based denoise system. � 2009 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5281870
dc.identifier.doi10.1109/PTC.2009.5281870
dc.identifier.scopus2-s2.0-74949110205
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-74949110205&doi=10.1109%2fPTC.2009.5281870&partnerID=40&md5=ce77ae73a772df823d900d118d037f4b
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30831
dc.sourceScopus
dc.sourcetitle2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future
dc.subjectDaubechie wavelet
dc.subjectDenoise
dc.subjectPower quality
dc.subjectWavelet transform
dc.subjectDiscrete wavelet transforms
dc.subjectGaussian noise (electronic)
dc.subjectWhite noise
dc.subjectAdditive White Gaussian noise
dc.subjectData length
dc.subjectDaubechie wavelet
dc.subjectDenoise
dc.subjectDisturbance signals
dc.subjectExcellent performance
dc.subjectInverse discrete wavelet transforms
dc.subjectPerformance analysis
dc.subjectPoor performance
dc.subjectPower quality disturbances
dc.subjectSoft threshold
dc.subjectStandard deviation
dc.subjectWavelet coefficients
dc.subjectWavelet denoise
dc.subjectWavelet analysis
dc.titlePerformance analysis of wavelet based denoise system for power quality disturbancesen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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