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A New Partial Discharge Signal Denoising Algorithm Based on Adaptive Dual-Tree Complex Wavelet Transform

https://doi.org/10.1109/tim.2018.2816438

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/etep.364openalex-snapshot

Suppressing white‐noise in partial discharge measurements—part 1: construction of complex Daubechies wavelet and complex threshold

inferredcites →https://doi.org/10.1002/etep.365openalex-snapshot

Suppressing white‐noise in partial discharge measurements part 2: the optimal de‐noising scheme

inferredcites →https://doi.org/10.1016/j.epsr.2015.04.005openalex-snapshot

A new wavelet selection method for partial discharge denoising

inferredcites →https://doi.org/10.1016/j.ymssp.2009.06.015openalex-snapshot

Enhancement of signal denoising and multiple fault signatures detecting in rotating machinery using dual-tree complex wavelet transform

inferredcites →https://doi.org/10.1016/s0263-2241(99)00067-6openalex-snapshot

Analysis of ultrawide-band detected partial discharges by means of a multiresolution digital signal-processing method

inferredcites →https://doi.org/10.1016/s0927-0256(97)00165-1openalex-snapshot

Analysis of partial electrical discharges in insulating materials through the wavelet transform

inferredcites →https://doi.org/10.1049/iet-smt.2016.0255openalex-snapshot

Feature extraction of GIS partial discharge signal based on S‐transform and singular value decomposition

inferredcites →https://doi.org/10.1049/iet-spr.2009.0213openalex-snapshot

Random interpolation average for signal denoising

inferredcites →https://doi.org/10.1088/0957-0233/17/9/001openalex-snapshot

Wavelet packet denoising for online partial discharge detection in cables and its application to experimental field results

inferredcites →https://doi.org/10.1088/0957-0233/19/5/055707openalex-snapshot

Improving detection sensitivity for partial discharge monitoring of high voltage equipment

inferredcites →https://doi.org/10.1109/57.901611openalex-snapshot

Detection of PD utilizing digital signal processing methods. Part 3: Open-loop noise reduction

inferredcites →https://doi.org/10.1109/57.995398openalex-snapshot

Automated wavelet selection and thresholding for PD detection

inferredcites →https://doi.org/10.1109/ceidp.2008.4772939openalex-snapshot

Wavelet De-Noising for PD UHF Signals Based on Adaptive Thresholding by Genetic Algorithm

inferredcites →https://doi.org/10.1109/ceidp.2012.6378740openalex-snapshot

Partial discharge de-noising employing improved singular value decomposition

inferredcites →https://doi.org/10.1109/cmd.2012.6416387openalex-snapshot

Partial discharge location using 2 sensors and optical fibers

inferredcites →https://doi.org/10.1109/ecs.2015.7124856openalex-snapshot

A novel algorithm for denoising of simulated partial discharge signals using Adaptive wavelet thresholding methods

inferredcites →https://doi.org/10.1109/eeeic.2016.7555556openalex-snapshot

A novel approach of partial discharges detection in a real environment

inferredcites →https://doi.org/10.1109/i2mtc.2015.7151575openalex-snapshot

Two-stage processing system for the detection and on-site localization of acoustic emissions

inferredcites →https://doi.org/10.1109/iccpct.2014.7054792openalex-snapshot

Employing the mathematical morphology filters for de-noising Partial Discharge signals

inferredcites →https://doi.org/10.1109/imtc.2000.848914openalex-snapshot

Analysis of PD signal by wavelet transform

inferredcites →https://doi.org/10.1109/mei.2013.6457597openalex-snapshot

A novel method for ultra-high-frequency partial discharge localization in power transformers using the particle swarm optimization algorithm

inferredcites →https://doi.org/10.1109/msp.2005.1550194openalex-snapshot

The dual-tree complex wavelet transform

inferredcites →https://doi.org/10.1109/tdei.2002.1007709openalex-snapshot

Interpretation of wavelet analysis and its application in partial discharge detection

inferredcites →https://doi.org/10.1109/tdei.2003.1194122openalex-snapshot

Wavelet-based denoising of partial discharge signals buried in excessive noise and interference

inferredcites →https://doi.org/10.1109/tdei.2007.4401237openalex-snapshot

Second generation wavelet transform for data denoising in PD measurement

inferredcites →https://doi.org/10.1109/tdei.2008.4591239openalex-snapshot

On-line detection and measurement of partial discharge signals in a noisy environment

inferredcites →https://doi.org/10.1109/tdei.2008.4712660openalex-snapshot

Detection and location of partial discharges in power transformers using acoustic and electromagnetic signals

inferredcites →https://doi.org/10.1109/tdei.2008.4712670openalex-snapshot

De-noising of partial discharge signal using eigen-decomposition technique

inferredcites →https://doi.org/10.1109/tdei.2010.5412014openalex-snapshot

Cross-wavelet transform as a new paradigm for feature extraction from noisy partial discharge pulses

inferredcites →https://doi.org/10.1109/tdei.2010.5658220openalex-snapshot

Scale dependent wavelet selection for de-noising of partial discharge detection

inferredcites →https://doi.org/10.1109/tdei.2012.6180248openalex-snapshot

Wavelet de-noising of partial discharge signals based on genetic adaptive threshold estimation

inferredcites →https://doi.org/10.1109/tdei.2012.6396973openalex-snapshot

Feature-oriented de-noising of partial discharge signals employing mathematical morphology filters

inferredcites →https://doi.org/10.1109/tdei.2013.003839openalex-snapshot

Self-adaptive partial discharge signal de-noising based on ensemble empirical mode decomposition and automatic morphological thresholding

inferredcites →https://doi.org/10.1109/tdei.2013.003863openalex-snapshot

Location of PDs inside transformer windings using UHF methods

inferredcites →https://doi.org/10.1109/tdei.2013.003894openalex-snapshot

Partial discharge de-noising employing adaptive singular value decomposition

inferredcites →https://doi.org/10.1109/tdei.2015.005532openalex-snapshot

Denoising of acoustic partial discharge signals corrupted with random noise

inferredcites →https://doi.org/10.1109/tim.2013.2286891openalex-snapshot

Instrumentation System for Location of Partial Discharges Using Acoustic Detection With Piezoelectric Transducers and Optical Fiber Sensors

inferredcites →https://doi.org/10.1109/tim.2015.2454651openalex-snapshot

Wavelet Transform With Histogram-Based Threshold Estimation for Online Partial Discharge Signal Denoising

inferredcites →https://doi.org/10.1109/tpwrd.2007.899254openalex-snapshot

Study of Partial Discharge Measurement in Power Equipment Using Acoustic Technique and Wavelet Transform

inferredcites →https://doi.org/10.1109/tpwrd.2011.2162858openalex-snapshot

Using K-Means Clustering and Parameter Weighting for Partial-Discharge Noise Suppression

inferredcites →https://doi.org/10.1109/upec.2008.4651625openalex-snapshot

Comparing denoising performance of DWT,WPT, SWT and DT-CWT for Partial Discharge signals

inferredcites →https://doi.org/10.3390/e12061499openalex-snapshot

Entropy-Based Method of Choosing the Decomposition Level in Wavelet Threshold De-noising

inferredcites →https://doi.org/10.3390/e19090439openalex-snapshot

Partial Discharge Feature Extraction Based on Ensemble Empirical Mode Decomposition and Sample Entropy

inferredcites →https://doi.org/10.3390/s16060941openalex-snapshot

An Ultrahigh Frequency Partial Discharge Signal De-Noising Method Based on a Generalized S-Transform and Module Time-Frequency Matrix

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