The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS
Transactions ID Number: 29-506
Full Name: Hui Wang
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: 800 Dongchuan Road, Shanghai City
Country: CHINA
Tel: 34204289-14
Tel prefix: 86-021
Fax: 34204289-16
E-mail address: frankhery@hotmail.com
Other E-mails: frankhery@powerpd.cn
Title of the Paper: on-line partial discharge monitoring system and data processing using wtst-nst filter for high voltage power cable
Authors as they appear in the Paper: Hui Wang,Chengjun Huang,Li Zhang,Yong Qian,Junhua Liu,Linpeng Yao,Canxin Guo,Xiuchen Jiang
Email addresses of all the authors: frankhery@hotmail.com,chjhuang@sjtu.edu.cn,frankhery@powerpd.cn,qian_yong@sjtu.edu.cn,drunhua@sjtu.edu.cn,yaolinpeng@sjtu.edu.cn,kwok@powerpd.cn,xcjiang@sjtu.edu.cn
Number of paper pages: 11
Abstract: Defects inside insulation of HV XLPE cable accessories can lead to partial discharge (PD) activity. When PD activity happens, leakage current may flow through the grounded line. To acquire the PD current signal, one practicable and effective method is placing a high frequency current transformer (HFCT) winding the grounded line. In order to measure the insulation degradation, a partial discharge on-line monitoring system is developed and reported in this paper. Through the field test, the presented monitoring system is effective and available for power cable in the condition based maintenance (CBM). However, on-site partial discharger detection on XLPE cables and cable accessories are very difficult of variable noise interference, which gives much trouble to partial discharge detecting. This paper introduced an adaptive filter stationary-non stationary filter based on the wavelet transform (WTST-NST) to de-noise the stationary noise interference in partial discha!
rge detecting. The proposed method is a wavelet domain filtering technique, based on the iterative multi-resolution decomposition reconstruction (MRD-MRR) with hard threshold, for extracting PD signals from stationary interference noise. Quantitative and qualitative analysis of the experimental results, while using the WTST-NST filter to PD signals recorded from power cables, prove that the ability to extract the PD from noise hidden in it.
Keywords: Power cable,Adaptive wtst-nst filter,On-line monitoring,Partial discharge,MRD-MRR algorithm,Stationary noise interference,Condition based maintenance(CBM)
EXTENSION of the file: .doc
Special (Invited) Session: Analysis of Partial Discharge Detection in Power Cable by WTST-NST Filter Technology
Organizer of the Session: 613-244
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