Intelligent Morphological Filter Applied to the Signal Processing of Partial Discharge for XLPE Cable
Today the sensitive measurement of partial discharge (PD) signals in XLPE cable can be an important element for quality assurance and diagnostics in the factory and during the on-site test procedure. The results clearly indicate that PD analysis of XLPE cable is an excellent online tool to assess its dielectric condition. However, as the serious interference in-field, the acquired PD signals may be interrupted by periodic interferences and white noises, easily. This paper describes an intelligent morphological filter algorithm to remove the periodic pulse interference and white noise contained in the PD signals. The algorithm consists of two stages of morphological processing. The performance of the algorithm is evaluated with simulated and real PD signals. Compared with classical wavelet, there are substantial improvements in the indexes of average error, root mean square (rms) error and maximum error, especially in reducing distortion of the baseline waveform.
partial discharge XLPE cable intelligent morphlogical filter wavelet baseline waveform
Hui Wang Li Zhang Chengjun Huang Yong Qian Canxin Guo Junhua Liu LinpengYao Xiuchen Jiang
Department of Electrical Engineering Shanghai Jiao Tong University Shanghai,China Shanghai Municipal Electrical Power Company Shanghai,China
国际会议
上海
英文
708-712
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）