Self-adaptive De-noising Technique based on DWT for PD Measurements and Self-healing Networks

Amjad Hussain, Zeeshan Ahmed, Muhammad Shafiq, Matti Lehtonen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

3 Citations (Scopus)

Abstract

Partial Discharge (PD) detection and measurement are considered as reliable source of information related to early signs of insulation degradation in order to avoid complete breakdown and longer power outages. During the last decade, the online PD measurements and self healing networks gained significant interest over the periodic maintenance. However, online measured signals are suppressed by high frequency noise, therefore, de-noising of measurements is of paramount importance to get reliable information about a fault. An adaptive de-noising technique based on discrete wavelet transform (DWT), capable of de-noising the measured signals automatically without any human intervention is presented in this paper. The major challenges in using DWT such as wavelet function selection and reconstruction of de-noised signals are addressed. A simple criteria about selection of decomposition coefficients based on dominant frequency and amplitude is used in the presented algorithm. The de-noising performance is evaluated by comparing with other techniques such as correlation based wavelet selection and energy based wavelet selection methods. The results prove that adaptive de-noising is simple, effective and reliable in terms of run time which makes it more useful for online monitoring application.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Innovative Smart Grid Technologies, IEEE PES ISGT Asia 2018
EditorsQuan Hao, Anurag Sharma
PublisherIEEE
Pages1085-1090
Number of pages6
ISBN (Electronic)9781538642917
DOIs
Publication statusPublished - 18 Sep 2018
MoE publication typeA4 Article in a conference publication
EventIEEE PES Conference on Innovative Smart Grid Technologies Asia - Singapore, Singapore
Duration: 22 May 201825 May 2018

Publication series

NameIEEE PES Conference on innovative smart grid technologies
PublisherIEEE
ISSN (Print)2167-9665
ISSN (Electronic)2472-8152

Conference

ConferenceIEEE PES Conference on Innovative Smart Grid Technologies Asia
Abbreviated titleISGT Asia
CountrySingapore
CitySingapore
Period22/05/201825/05/2018

Keywords

  • Adaptive de-noising
  • Discrete Wavelet Transform
  • Online monitoring
  • Partial Discharge
  • Sel healing networks

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