An optimal algorithm for applying wavelet transform in identifying the arrival time of PD pulse in a UHF detection system

X. Song, M.D. Judd, C. Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

16 Citations (Scopus)

Abstract

The detection and localisation of Partial Discharge (PD) activities is gaining importance in maintaining operational transformers and diagnosing those which are faulty. Ultra-high-frequency (UHF) techniques have been applied successfully to detection of PD activities in HV transformers because of their sensitivity to fast transient pulses. When an UHF PD monitoring system is applied, one of the crucial pieces of information that need to be preserved is the arrival time which allows the Triangulation algorithm to be applied for localisation of PD source(s).
Unfortunately, the presence of noise in the UHF signals can complicate the application. This paper presents the results of a study which has been carried out as a joint effort between Glasgow Caledonian University and
University of Strathclyde to investigate the efficacy of applying Discrete Wavelets Transform (DWT) to the extraction of PD pulses from noisy environments and
the determination of their arrival times in UHF signals. Studies on practically acquired UHF signals from an in-service power transformer prove that DWT is
effective in locating the arrival times of PD pulses when the standard deviation (SD) of added noise is no greater than the maximum magnitude of the PD pulses
frequency domain [4]. However, the method is more complicated than the conventional filter technique, and requires expertise and experience to be applied to produce its best effect. In this paper, an effective DWTbased
denoising algorithm is proposed to remove noise in UHF signals while preserving the arrival time in order to locate the PD source accurately. The paper firstly introduces the application of UHF method to the measurement of PD pulses in
transformers and gives typical UHF responses to PD activities. Then a DWT based algorithm is proposed to extract the UHF pulses associated with PD activities
from noisy data, including the selection of mother wavelet, the thresholding algorithm and the reconstruction of the signals. Finally, the effectiveness
of the proposed method is evaluated for various levels of noise presence prior to discussions of the shortcomings and limitation of the proposed method.
Original languageEnglish
Title of host publication42nd International Universities Power Engineering Conference, 2007. UPEC 2007.
Place of PublicationNew York
PublisherIEEE
Pages495-498
Number of pages4
ISBN (Print)9781905593361
DOIs
Publication statusPublished - 2007
Event42nd International Universities Power Engineering Conference (UPEC 2007) - Brighton, United Kingdom
Duration: 4 Sep 20076 Sep 2007

Conference

Conference42nd International Universities Power Engineering Conference (UPEC 2007)
CountryUnited Kingdom
CityBrighton
Period4/09/076/09/07

Fingerprint

Partial discharges
Wavelet transforms
Discrete wavelet transforms
Power transformers
Triangulation
Frequency response

Keywords

  • working environment noise
  • UHF measurements
  • power transformers
  • fault detection
  • partial discharges
  • monitoring
  • discrete wavelet transforms

Cite this

Song, X., Judd, M. D., & Zhou, C. (2007). An optimal algorithm for applying wavelet transform in identifying the arrival time of PD pulse in a UHF detection system. In 42nd International Universities Power Engineering Conference, 2007. UPEC 2007. (pp. 495-498). New York: IEEE. https://doi.org/10.1109/UPEC.2007.4468997
Song, X. ; Judd, M.D. ; Zhou, C. / An optimal algorithm for applying wavelet transform in identifying the arrival time of PD pulse in a UHF detection system. 42nd International Universities Power Engineering Conference, 2007. UPEC 2007. . New York : IEEE, 2007. pp. 495-498
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abstract = "The detection and localisation of Partial Discharge (PD) activities is gaining importance in maintaining operational transformers and diagnosing those which are faulty. Ultra-high-frequency (UHF) techniques have been applied successfully to detection of PD activities in HV transformers because of their sensitivity to fast transient pulses. When an UHF PD monitoring system is applied, one of the crucial pieces of information that need to be preserved is the arrival time which allows the Triangulation algorithm to be applied for localisation of PD source(s).Unfortunately, the presence of noise in the UHF signals can complicate the application. This paper presents the results of a study which has been carried out as a joint effort between Glasgow Caledonian University andUniversity of Strathclyde to investigate the efficacy of applying Discrete Wavelets Transform (DWT) to the extraction of PD pulses from noisy environments andthe determination of their arrival times in UHF signals. Studies on practically acquired UHF signals from an in-service power transformer prove that DWT iseffective in locating the arrival times of PD pulses when the standard deviation (SD) of added noise is no greater than the maximum magnitude of the PD pulses frequency domain [4]. However, the method is more complicated than the conventional filter technique, and requires expertise and experience to be applied to produce its best effect. In this paper, an effective DWTbaseddenoising algorithm is proposed to remove noise in UHF signals while preserving the arrival time in order to locate the PD source accurately. The paper firstly introduces the application of UHF method to the measurement of PD pulses intransformers and gives typical UHF responses to PD activities. Then a DWT based algorithm is proposed to extract the UHF pulses associated with PD activitiesfrom noisy data, including the selection of mother wavelet, the thresholding algorithm and the reconstruction of the signals. Finally, the effectivenessof the proposed method is evaluated for various levels of noise presence prior to discussions of the shortcomings and limitation of the proposed method.",
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Song, X, Judd, MD & Zhou, C 2007, An optimal algorithm for applying wavelet transform in identifying the arrival time of PD pulse in a UHF detection system. in 42nd International Universities Power Engineering Conference, 2007. UPEC 2007. . IEEE, New York, pp. 495-498, 42nd International Universities Power Engineering Conference (UPEC 2007) , Brighton, United Kingdom, 4/09/07. https://doi.org/10.1109/UPEC.2007.4468997

An optimal algorithm for applying wavelet transform in identifying the arrival time of PD pulse in a UHF detection system. / Song, X.; Judd, M.D.; Zhou, C.

42nd International Universities Power Engineering Conference, 2007. UPEC 2007. . New York : IEEE, 2007. p. 495-498.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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AU - Zhou, C.

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N2 - The detection and localisation of Partial Discharge (PD) activities is gaining importance in maintaining operational transformers and diagnosing those which are faulty. Ultra-high-frequency (UHF) techniques have been applied successfully to detection of PD activities in HV transformers because of their sensitivity to fast transient pulses. When an UHF PD monitoring system is applied, one of the crucial pieces of information that need to be preserved is the arrival time which allows the Triangulation algorithm to be applied for localisation of PD source(s).Unfortunately, the presence of noise in the UHF signals can complicate the application. This paper presents the results of a study which has been carried out as a joint effort between Glasgow Caledonian University andUniversity of Strathclyde to investigate the efficacy of applying Discrete Wavelets Transform (DWT) to the extraction of PD pulses from noisy environments andthe determination of their arrival times in UHF signals. Studies on practically acquired UHF signals from an in-service power transformer prove that DWT iseffective in locating the arrival times of PD pulses when the standard deviation (SD) of added noise is no greater than the maximum magnitude of the PD pulses frequency domain [4]. However, the method is more complicated than the conventional filter technique, and requires expertise and experience to be applied to produce its best effect. In this paper, an effective DWTbaseddenoising algorithm is proposed to remove noise in UHF signals while preserving the arrival time in order to locate the PD source accurately. The paper firstly introduces the application of UHF method to the measurement of PD pulses intransformers and gives typical UHF responses to PD activities. Then a DWT based algorithm is proposed to extract the UHF pulses associated with PD activitiesfrom noisy data, including the selection of mother wavelet, the thresholding algorithm and the reconstruction of the signals. Finally, the effectivenessof the proposed method is evaluated for various levels of noise presence prior to discussions of the shortcomings and limitation of the proposed method.

AB - The detection and localisation of Partial Discharge (PD) activities is gaining importance in maintaining operational transformers and diagnosing those which are faulty. Ultra-high-frequency (UHF) techniques have been applied successfully to detection of PD activities in HV transformers because of their sensitivity to fast transient pulses. When an UHF PD monitoring system is applied, one of the crucial pieces of information that need to be preserved is the arrival time which allows the Triangulation algorithm to be applied for localisation of PD source(s).Unfortunately, the presence of noise in the UHF signals can complicate the application. This paper presents the results of a study which has been carried out as a joint effort between Glasgow Caledonian University andUniversity of Strathclyde to investigate the efficacy of applying Discrete Wavelets Transform (DWT) to the extraction of PD pulses from noisy environments andthe determination of their arrival times in UHF signals. Studies on practically acquired UHF signals from an in-service power transformer prove that DWT iseffective in locating the arrival times of PD pulses when the standard deviation (SD) of added noise is no greater than the maximum magnitude of the PD pulses frequency domain [4]. However, the method is more complicated than the conventional filter technique, and requires expertise and experience to be applied to produce its best effect. In this paper, an effective DWTbaseddenoising algorithm is proposed to remove noise in UHF signals while preserving the arrival time in order to locate the PD source accurately. The paper firstly introduces the application of UHF method to the measurement of PD pulses intransformers and gives typical UHF responses to PD activities. Then a DWT based algorithm is proposed to extract the UHF pulses associated with PD activitiesfrom noisy data, including the selection of mother wavelet, the thresholding algorithm and the reconstruction of the signals. Finally, the effectivenessof the proposed method is evaluated for various levels of noise presence prior to discussions of the shortcomings and limitation of the proposed method.

KW - working environment noise

KW - UHF measurements

KW - power transformers

KW - fault detection

KW - partial discharges

KW - monitoring

KW - discrete wavelet transforms

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DO - 10.1109/UPEC.2007.4468997

M3 - Conference contribution book

SN - 9781905593361

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BT - 42nd International Universities Power Engineering Conference, 2007. UPEC 2007.

PB - IEEE

CY - New York

ER -

Song X, Judd MD, Zhou C. An optimal algorithm for applying wavelet transform in identifying the arrival time of PD pulse in a UHF detection system. In 42nd International Universities Power Engineering Conference, 2007. UPEC 2007. . New York: IEEE. 2007. p. 495-498 https://doi.org/10.1109/UPEC.2007.4468997