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2006•Unpublished venueRequires access

Comparisons of Discrete Wavelet Transform, Wavelet Packet Transform and Stationary Wavelet Transform in Denoising PD Measurement Data

Xiaobo Zhou, Chengke Zhou, Brian Stewart

Open publisher page 42 citations

Abstract

Noise has been a major limitation to partial discharge (PD) measurement. It is crucial to suppress noise prior to any PD data analysis. Recent research shows that the discrete wavelet transform, wavelet packet transform and stationary wavelet transform techniques have all achieved good effect in noise rejection in PD measurement. This paper compares the effectiveness and computing time required of the three types of wavelet transform methods when applied to simulated PD data in presence of white noise and sinusoidal interference

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What this paper is about

Noise has been a major limitation to partial discharge (PD) measurement. It is crucial to suppress noise prior to any PD data analysis. Recent research shows that the discrete wavelet transform, wavelet packet transform and stationary wavelet transform techniques have all achieved good effect in noise rejection in PD measurement. This paper compares the effectiveness and computing time required of the three types of wavelet transform methods when applied to simulated PD data in presence of white noise and sinusoidal interference

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OpenAlex reports 42 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Noise has been a major limitation to partial discharge (PD) measurement. It is crucial to suppress noise prior to any PD data analysis. Recent research shows that the discrete wavelet transform, wavelet packet transform and stationary wavelet transform techniques have all achieved good effect in noise rejection in PD measurement. This paper compares the effectiveness and computing time required of the three types of wavelet transform methods when applied to simulated PD data in presence of white noise and sinusoidal interference

Key concepts: Wavelet packet decomposition, Discrete wavelet transform, Stationary wavelet transform, Second-generation wavelet transform, Harmonic wavelet transform, Wavelet transform, Lifting scheme, Wavelet

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Comparisons of Discrete Wavelet Transform, Wavelet Packet Transform and Stationary Wavelet Transform in Denoising PD Measurement Data — Research Paper | ScholarLens