Paper Title:
Identifying Power Equipment Partial Discharge Signals via Pulse Appearance Frequency, Duration, and Pulse Polarity
  Abstract

At present, the contribution of partial discharge (PD) to power equipment insulation diagnosis is highly valued globally. However, most PD measurements are still performed in the laboratory, the main reason being that the effects of on-field noise suppression are still limited and unsatisfactory. To date, among noise suppression methods, wavelet de-noising is the most common. This study focuses on improving the effects of on-field noise suppression. The shape features (pulse equivalent bandwidth and pulse duration time) can be analyzed, and PD signals can consequently be discovered. This study applied the proposed method to on-field and laboratory experiments, and presents a discussion of the outcomes regarding the effects on noise suppression. This method can improve the effects of noise suppression.

  Info
Periodical
Advanced Materials Research (Volumes 354-355)
Chapter
Chapter 7: High Voltage and Insulation Technology
Edited by
Hao Zhang, Yang Fu and Zhong Tang
Pages
1228-1234
DOI
10.4028/www.scientific.net/AMR.354-355.1228
Citation
J. C. Hsieh, Y. H. Lin, "Identifying Power Equipment Partial Discharge Signals via Pulse Appearance Frequency, Duration, and Pulse Polarity", Advanced Materials Research, Vols. 354-355, pp. 1228-1234, 2012
Online since
October 2011
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Price
$32.00
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