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

Risultato della ricerca: Other

1 Citazione (Scopus)

Abstract

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.
Lingua originaleEnglish
Pagine429-432
Numero di pagine4
Stato di pubblicazionePublished - 2009

Fingerprint

Partial discharges
Simulators
Wavelet transforms
Software design
Hardware
Processing
Experiments

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Cita questo

@conference{cc20a844ccb6408ca8de27e520fa5aeb,
title = "A combined CWT-DWT method using model-based design simulator for partial discharges online detection",
abstract = "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.",
author = "Pietro Romano and Roberto Candela",
year = "2009",
language = "English",
pages = "429--432",

}

TY - CONF

T1 - A combined CWT-DWT method using model-based design simulator for partial discharges online detection

AU - Romano, Pietro

AU - Candela, Roberto

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10447/49052

M3 - Other

SP - 429

EP - 432

ER -