Signal denoising techniques for partial discharge measurements

S. Sriram, S. Nitin, K.M.M. Prabhu, M.J. Bastiaans

Research output: Contribution to journalArticleAcademicpeer-review

107 Citations (Scopus)
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Abstract

One of the major challenges of on-site partial discharge (PD) measurements is the recovery of PD signals from a noisy environment. The different sources of noise include thermal or resistor noise added by the measuring circuit, and high-frequency sinusoidal signals that electromagnetically couple from radio broadcasts and/or carrier wave communications. Sophisticated methods are required to detect PD signals correctly. Fortunately, advances in analog-to-digital conversion (ADC) technology, and recent developments in digital signal processing (DSP) enable easy extraction of PD signals. This paper deals with the denoising of PD signals caused by corona discharges. Several techniques are investigated and employed on simulated as well as real PD data.
Original languageEnglish
Pages (from-to)1182-1191
Number of pages10
JournalIEEE Transactions on Dielectrics and Electrical Insulation
Volume12
Issue number6
DOIs
Publication statusPublished - 2005

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Signal denoising
Partial discharges
Thermal noise
Analog to digital conversion
Digital signal processing
Resistors
Recovery
Networks (circuits)
Communication

Cite this

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title = "Signal denoising techniques for partial discharge measurements",
abstract = "One of the major challenges of on-site partial discharge (PD) measurements is the recovery of PD signals from a noisy environment. The different sources of noise include thermal or resistor noise added by the measuring circuit, and high-frequency sinusoidal signals that electromagnetically couple from radio broadcasts and/or carrier wave communications. Sophisticated methods are required to detect PD signals correctly. Fortunately, advances in analog-to-digital conversion (ADC) technology, and recent developments in digital signal processing (DSP) enable easy extraction of PD signals. This paper deals with the denoising of PD signals caused by corona discharges. Several techniques are investigated and employed on simulated as well as real PD data.",
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Signal denoising techniques for partial discharge measurements. / Sriram, S.; Nitin, S.; Prabhu, K.M.M.; Bastiaans, M.J.

In: IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 12, No. 6, 2005, p. 1182-1191.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Signal denoising techniques for partial discharge measurements

AU - Sriram, S.

AU - Nitin, S.

AU - Prabhu, K.M.M.

AU - Bastiaans, M.J.

PY - 2005

Y1 - 2005

N2 - One of the major challenges of on-site partial discharge (PD) measurements is the recovery of PD signals from a noisy environment. The different sources of noise include thermal or resistor noise added by the measuring circuit, and high-frequency sinusoidal signals that electromagnetically couple from radio broadcasts and/or carrier wave communications. Sophisticated methods are required to detect PD signals correctly. Fortunately, advances in analog-to-digital conversion (ADC) technology, and recent developments in digital signal processing (DSP) enable easy extraction of PD signals. This paper deals with the denoising of PD signals caused by corona discharges. Several techniques are investigated and employed on simulated as well as real PD data.

AB - One of the major challenges of on-site partial discharge (PD) measurements is the recovery of PD signals from a noisy environment. The different sources of noise include thermal or resistor noise added by the measuring circuit, and high-frequency sinusoidal signals that electromagnetically couple from radio broadcasts and/or carrier wave communications. Sophisticated methods are required to detect PD signals correctly. Fortunately, advances in analog-to-digital conversion (ADC) technology, and recent developments in digital signal processing (DSP) enable easy extraction of PD signals. This paper deals with the denoising of PD signals caused by corona discharges. Several techniques are investigated and employed on simulated as well as real PD data.

U2 - 10.1109/TDEI.2005.1561798

DO - 10.1109/TDEI.2005.1561798

M3 - Article

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SP - 1182

EP - 1191

JO - IEEE Transactions on Dielectrics and Electrical Insulation

JF - IEEE Transactions on Dielectrics and Electrical Insulation

SN - 1070-9878

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