Version 1
: Received: 24 October 2017 / Approved: 24 October 2017 / Online: 24 October 2017 (04:47:02 CEST)
How to cite:
Wang, G.; Kil, G.; Ji, H.; Lee, J. Disturbance Elimination for Partial Discharge Detection in Spacer of Gas-Insulated Switchgears. Preprints2017, 2017100154. https://doi.org/10.20944/preprints201710.0154.v1
Wang, G.; Kil, G.; Ji, H.; Lee, J. Disturbance Elimination for Partial Discharge Detection in Spacer of Gas-Insulated Switchgears. Preprints 2017, 2017100154. https://doi.org/10.20944/preprints201710.0154.v1
Wang, G.; Kil, G.; Ji, H.; Lee, J. Disturbance Elimination for Partial Discharge Detection in Spacer of Gas-Insulated Switchgears. Preprints2017, 2017100154. https://doi.org/10.20944/preprints201710.0154.v1
APA Style
Wang, G., Kil, G., Ji, H., & Lee, J. (2017). Disturbance Elimination for Partial Discharge Detection in Spacer of Gas-Insulated Switchgears. Preprints. https://doi.org/10.20944/preprints201710.0154.v1
Chicago/Turabian Style
Wang, G., Hong-Keun Ji and Jong-Hyuk Lee. 2017 "Disturbance Elimination for Partial Discharge Detection in Spacer of Gas-Insulated Switchgears" Preprints. https://doi.org/10.20944/preprints201710.0154.v1
Abstract
With the increasing demand for precise condition monitoring and diagnosis of gas-insulated switchgears (GIS), it has become a challenge to improve the detection sensitivity of partial discharge (PD) induced in the GIS spacer. This paper deals with the elimination of the capacitive component from the phase resolved partial discharge (PRPD) signal generated in GIS spacer based on the discrete wavelet transform. Three types of typical insulation defects were simulated using PD cells. The single PD pulses were detected and were further used to determine the optimal mother wavelet. As a result, the bior6.8 was selected to decompose the PD signal into 8 levels and the signal energy at each level was calculated. The decomposed components related with capacitive disturbance were discarded whereas those associated with PD were de-noised by a threshold and a thresholding function. Finally, the PRPD signals were reconstructed using the de-noised components.
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
