TY - GEN
T1 - The application of partial discharge detector and electro-acoustic signals analysis methods for power cables monitoring
AU - Hsieh, Ju Chu
AU - Tai, Cheng Chi
AU - Su, Ching Chau
AU - Chen, Chien Yi
AU - Sue, Ching Chau
AU - Chan, Chien Yi
AU - Chen, Jiann Fuh
AU - Lin, Yu Hsun
PY - 2012/12/1
Y1 - 2012/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84874247309&partnerID=8YFLogxK
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U2 - 10.1109/CMD.2012.6416399
DO - 10.1109/CMD.2012.6416399
M3 - Conference contribution
AN - SCOPUS:84874247309
SN - 9781467310208
T3 - Proceedings of 2012 IEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012
SP - 157
EP - 160
BT - Proceedings of 2012 IEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012
T2 - 2012 IEEE International Conference on Condition Monitoring and Diagnosis, CMD 2012
Y2 - 23 September 2012 through 27 September 2012
ER -