Denoising of UHF PD signals based on optimised VMD and wavelet transform
- 1 September 2017
- journal article
- Published by Institution of Engineering and Technology (IET) in IET Science, Measurement & Technology
- Vol. 11 (6), 753-760
- https://doi.org/10.1049/iet-smt.2016.0510
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China (No. 81201154)
This publication has 18 references indexed in Scilit:
- A novel automatic pulse segmentation approach and its application in PD-induced electromagnetic wave detectionIEEE Transactions on Dielectrics and Electrical Insulation, 2017
- Denoising of acoustic partial discharge signals corrupted with random noiseIEEE Transactions on Dielectrics and Electrical Insulation, 2016
- An overview of state-of-the-art partial discharge analysis techniques for condition monitoringIEEE Electrical Insulation Magazine, 2015
- A new wavelet selection method for partial discharge denoisingElectric Power Systems Research, 2015
- Support Vector Machine-based Denoising Technique for Removal of White Noise in Partial Discharge SignalElectric Power Components and Systems, 2014
- Suppression of UHF partial discharge signals buried in white-noise interference based on block thresholding spatial correlation combinative de-noising methodIET Generation, Transmission & Distribution, 2012
- Wavelet de-noising of partial discharge signals based on genetic adaptive threshold estimationIEEE Transactions on Dielectrics and Electrical Insulation, 2012
- Feature extraction of partial discharge signals using the wavelet packet transform and classification with a probabilistic neural networkIET Science, Measurement & Technology, 2010
- Application of Complex Wavelet Transform to Suppress White Noise in GIS UHF PD SignalsIEEE Transactions on Power Delivery, 2007
- Partial discharge monitoring of power transformers using UHF sensors. Part I: sensors and signal interpretationIEEE Electrical Insulation Magazine, 2005