Denoising UHF signal for PD detection in transformers based on wavelet technique

L. Yang, M.D. Judd, C.J. Bennoch

Research output: Contribution to conferencePaper

44 Citations (Scopus)

Abstract

Although the UHF technique is immune from electrical interference; communication noises, thermal noise from the detection system, and periodic pulse-shaped noise from thyristor operation are usually found in the UHF signal. In this paper, a method based on discrete wavelet transforms is introduced. Three steps in the de-noising process are studied and discussed. Hundreds of combinations involved in the process are compared. An artificial signal is created by mixing the specific noise with a 'clean' UHF signal. The optimal process and corresponding parameters are defined by comparing the 'clean' signal and the de-noised version of the artificial signal.

Conference

Conference2004 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, 2004. CEIDP '04.
CountryUnited States
CityBoulder
Period17/10/0420/10/04

Fingerprint

Thermal noise
Discrete wavelet transforms
Thyristors
Communication

Keywords

  • denoising
  • uhf signal
  • pd detection
  • transformers
  • wavelet technique

Cite this

Yang, L., Judd, M. D., & Bennoch, C. J. (2004). Denoising UHF signal for PD detection in transformers based on wavelet technique. 166-169. Paper presented at 2004 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, 2004. CEIDP '04., Boulder, United States. https://doi.org/10.1109/CEIDP.2004.1364215
Yang, L. ; Judd, M.D. ; Bennoch, C.J. / Denoising UHF signal for PD detection in transformers based on wavelet technique. Paper presented at 2004 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, 2004. CEIDP '04., Boulder, United States.3 p.
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abstract = "Although the UHF technique is immune from electrical interference; communication noises, thermal noise from the detection system, and periodic pulse-shaped noise from thyristor operation are usually found in the UHF signal. In this paper, a method based on discrete wavelet transforms is introduced. Three steps in the de-noising process are studied and discussed. Hundreds of combinations involved in the process are compared. An artificial signal is created by mixing the specific noise with a 'clean' UHF signal. The optimal process and corresponding parameters are defined by comparing the 'clean' signal and the de-noised version of the artificial signal.",
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Yang, L, Judd, MD & Bennoch, CJ 2004, 'Denoising UHF signal for PD detection in transformers based on wavelet technique' Paper presented at 2004 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, 2004. CEIDP '04., Boulder, United States, 17/10/04 - 20/10/04, pp. 166-169. https://doi.org/10.1109/CEIDP.2004.1364215

Denoising UHF signal for PD detection in transformers based on wavelet technique. / Yang, L.; Judd, M.D.; Bennoch, C.J.

2004. 166-169 Paper presented at 2004 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, 2004. CEIDP '04., Boulder, United States.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Denoising UHF signal for PD detection in transformers based on wavelet technique

AU - Yang, L.

AU - Judd, M.D.

AU - Bennoch, C.J.

PY - 2004/10

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N2 - Although the UHF technique is immune from electrical interference; communication noises, thermal noise from the detection system, and periodic pulse-shaped noise from thyristor operation are usually found in the UHF signal. In this paper, a method based on discrete wavelet transforms is introduced. Three steps in the de-noising process are studied and discussed. Hundreds of combinations involved in the process are compared. An artificial signal is created by mixing the specific noise with a 'clean' UHF signal. The optimal process and corresponding parameters are defined by comparing the 'clean' signal and the de-noised version of the artificial signal.

AB - Although the UHF technique is immune from electrical interference; communication noises, thermal noise from the detection system, and periodic pulse-shaped noise from thyristor operation are usually found in the UHF signal. In this paper, a method based on discrete wavelet transforms is introduced. Three steps in the de-noising process are studied and discussed. Hundreds of combinations involved in the process are compared. An artificial signal is created by mixing the specific noise with a 'clean' UHF signal. The optimal process and corresponding parameters are defined by comparing the 'clean' signal and the de-noised version of the artificial signal.

KW - denoising

KW - uhf signal

KW - pd detection

KW - transformers

KW - wavelet technique

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M3 - Paper

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Yang L, Judd MD, Bennoch CJ. Denoising UHF signal for PD detection in transformers based on wavelet technique. 2004. Paper presented at 2004 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, 2004. CEIDP '04., Boulder, United States. https://doi.org/10.1109/CEIDP.2004.1364215