Partial Discharge Signal Denoising Based on Wavelet Pair and Block Thresholding
In electrical engineering, it is of great importance to monitor partial discharge (PD) of high voltage apparatus. However, on-site PD signal easily gets corrupted by white noise, and hence denoising the measured PD signal is necessary to acquire pure PD. In traditional method, single wavelet and reg...
Main Authors: | Siyuan Zhou, Ju Tang, Cheng Pan, Yang Luo, Kailai Yan |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9129807/ |
Similar Items
-
Application of a Novel Wavelet Shrinkage Scheme to Partial Discharge Signal Denoising of Large Generators
by: Yanan Li, et al.
Published: (2020-03-01) -
Image denoising based on wavelet thresholding and Wiener filtering in the wavelet domain
by: Wen-quan Fan, et al.
Published: (2019-07-01) -
An Algorithm for Thresholding in the Context of Signal Denoising with Wavelets
by: Dorel AIORDACHIOAIE, et al.
Published: (2008-07-01) -
Denoising EOG Signal using Stationary Wavelet Transform
by: Naga Rajesh, et al.
Published: (2012-01-01) -
A New Wavelet Denoising Method for Selecting Decomposition Levels and Noise Thresholds
by: Madhur Srivastava, et al.
Published: (2016-01-01)