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Investigation of online detected partial discharges in power transformer

Ghaffarian, M ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. Publisher: 2008
  3. Abstract:
  4. In this paper some advantage of online monitoring in power transformer and the sensors that can be used for partial discharge detection are described. Several detected PD in one power transformer and one distribution transformer are depicted. Matlabs wavelet package is employed to de-noise the recorded signals. As it appear from the captured and the denoised signals, PD signals in an aged power transformer are often enough large that can be easily detected through the noisy measured signals. By examination of the frequency spectrum of several PD signal in this paper it is obvious that this signal contain two major frequency band, one under 1 MHz and the other one between 7 to 9 MHz. © 2008 Australasian Universities Power Engineering Conference (AUPEC'08)
  5. Keywords:
  6. De-Noise ; De-noised signals ; De-noising and on-line monitoring ; Distribution transformer ; Frequency spectra ; Measured signals ; Online monitoring ; Partial discharge detection ; Recorded signals ; Wavelet package ; Electric instrument transformers ; Frequency bands ; Power transformers ; Transformer substations ; Voltage measurement ; Wavelet transforms ; Partial discharges
  7. Source: 2008 Australasian Universities Power Engineering Conference, AUPEC 2008, Sydney, NSW, 14 December 2008 through 17 December 2008 ; April , 2008 ; 9781424441624 (ISBN)
  8. URL: https://ieeexplore.ieee.org/document/4813075