6533b851fe1ef96bd12a9782

RESEARCH PRODUCT

A combined CWT-DWT method using model-based design simulator for partial discharges online detection

Pietro RomanoRoberto CandelaE. Romano

subject

Settore ING-IND/31 - ElettrotecnicaWaveletComputer scienceNoise reductionPartial dischargeModel-based designdiscrete wavelet transforms partial discharge measurements time-frequency analysis transientsElectronic engineeringSoftware designWavelet transformContinuous wavelet transformTime–frequency analysis

description

The suppression of noises is fundamental in onsite Partial Discharge (PD) measurements. For this purpose, the wavelet transform analysis method has been developed and it is a powerful tool for processing the transient and suddenly changing signals. As the wavelet transform possesses the properties of multi-scale analysis and time-frequency domain localization, it is also particularly suitable to process the suddenly changing signals of the partial discharge pulse (PD). In this paper, an improved Wavelet denoising method developed by a model-based design software is presented. Simulations are provided as well as some results obtained during laboratory experiment and on-line PD measurements. The new method efficiency of reducing noises is evaluated by comparing the frequency spectrum before and after filtering processes with other software and hardware methods.

yearjournalcountryeditionlanguage
2009-08-012009 IEEE Conference on Electrical Insulation and Dielectric Phenomena
https://doi.org/10.1109/ceidp.2009.5377728