Partial discharge signal analysis using HHT for cast-resin dry-type transformer

Ya Wen Tang, Cheng Chi Tai, Ching Chau Su, Chien Yi Chen, Ju Chu Hsieh, Jiann Fuh Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In this paper, we analyze and compare the partial discharge (PD) signals from acoustic emission (AE) and high-frequency current transformer (HFCT) measurements with Hilbert-Huang transform (HHT). Commonly, the Fourier transform (FT) method is used to illustrate information in frequency domain. The HHT, a time-frequency method, provides another viewpoint to interpret the PD signals. This method allows for collecting information on PD signals both with regards to the time and frequency domains simultaneously. It has been verified that the HHT can provide more information when compared with FT method. In this work, the marginal spectrum simplifies the results of HHT method fatherly. From the marginal spectrum, the abiding and weak noise source can be properly estimated, and the instantaneous variation can be emphasized. The results reported here show that the HHT method has great promise for cast-resin dry-type transformer PD signals analysis.

Original languageEnglish
Title of host publicationProceedings of 2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008
PublisherIEEE Computer Society
Pages521-524
Number of pages4
ISBN (Print)9781424416219
DOIs
Publication statusPublished - 2008 Jan 1
Event2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008 - Beijing, China
Duration: 2008 Apr 212008 Apr 24

Publication series

NameProceedings of 2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008

Other

Other2008 International Conference on Condition Monitoring and Diagnosis, CMD 2008
CountryChina
CityBeijing
Period08-04-2108-04-24

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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