The application of partial discharge detector and electro-acoustic signals analysis methods for power cables monitoring

Ju Chu Hsieh, Cheng Chi Tai, Ching Chau Su, Chien Yi Chen, Ching Chau Sue, Chien Yi Chan, Jiann Fuh Chen, Yu Hsun Lin

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

4 Citations (Scopus)

Abstract

The patterns of signal that detected by using electric and acoustic emission (AE) methods can be used for the identification of partial discharge (PD) events in power cable. Because the transmission distance of sounds in the insulation layer of power cables is limited, when discharging occurs at continuous or joint positions, a high-frequency current transformer (HFCT) and/or AE sensor can be used to measure the discharge signal. However, when measuring on site, the signals are influenced by noise. Our solution for this problem is from two perspectives. First, we designed a low-cost simple PD detector and use multiple detectors to measure PD in power cables. Second, empirical mode decomposition (EMD) and fast Fourier transform (FFT) signal processing methods were used to analyze and compare the collected data.

Original languageEnglish
Title of host publicationProceedings of 2012 IEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012
Pages157-160
Number of pages4
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 IEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012 - Bali, Indonesia
Duration: 2012 Sep 232012 Sep 27

Publication series

NameProceedings of 2012 IEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012

Other

Other2012 IEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012
CountryIndonesia
CityBali
Period12-09-2312-09-27

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality

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