By Topic

A novel wavelet de-noising method for on-site PD measurements on HV cables

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Hao Zhang ; Sch. of Electr. Eng. & Telecommun., New South Wales Univ., Kensington, NSW, Australia ; Blackburn, T.R. ; Phung, B.T. ; Naderi, M.S.

The ageing of high and medium voltage power cable insulation is an increasing problem for the electric power industry, particularly under current economic constraints. To prevent insulation failure causing forced service outage, insulation condition monitoring techniques must be applied. Partial discharge (PD) measurement has been recognized as an effective diagnostic tool for insulation assessment. This is because most insulation failures start with PD phenomenon. However, on-site PD measurement signals are often affected by strong electromagnetic interference (EMI). Therefore, de-noising techniques have to be applied to recover the PD signal from noise to provide true information about the cable condition for asset management. This paper suggests using wavelet transform (WT) to reject on-site measurement noise. The existing wavelet de-noising methods are presented and their limitations led to the proposed new method. A novel WT de-noising threshold value selection method is introduced. Laboratory experiment results based on this novel method are presented. Its performance is compared with other WT de-noising methods. Results show this proposed method could greatly improve the measurement sensitivity and effectively remove on-site noise.

Published in:

Electrical Insulating Materials, 2005. (ISEIM 2005). Proceedings of 2005 International Symposium on  (Volume:3 )

Date of Conference:

5-9 June 2005