2013 13th International Conference on Environment and Electrical Engineering (EEEIC) 2013
DOI: 10.1109/eeeic-2.2013.6737918
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Evaluation of surface- and corona discharges at DC voltage

Abstract: Due to the rising number of DC transmission systems there is an increasing interest in partial discharge (PD) diagnostics at DC voltage. Under AC stress there are several established instruments to get evidence of the type and the location of the defect, most important the phase angle histogram. Under DC stress there are no such methods available up to now and therefore new interpretation techniques have to be developed. In this paper two typical types of PD are generated and analyzed on the basis of various p… Show more

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Cited by 8 publications
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“…The rise time, the pulse width and the fall time as primary parameters are considered as well as About the influence of temperature and humidity level on pulse shape parameters of positive DC corona discharges in air Ulrich Lühring, Daniel Wienold and Frank Jenau P secondary parameters such as the coefficient of variation, the kurtosis or the skewness. A comparative analysis of these parameters, gained from PDs of idealized and artificial defects under DC voltage stress, outlines the possibility to differentiate between different types of fault [10] and defects in varying insulating media [11], [12]. Extensive experimental investigations and statistical evaluations, presented in [6], verify that the time domain analysis of PDs enables a precise defect classification.…”
Section: Introductionmentioning
confidence: 99%
“…The rise time, the pulse width and the fall time as primary parameters are considered as well as About the influence of temperature and humidity level on pulse shape parameters of positive DC corona discharges in air Ulrich Lühring, Daniel Wienold and Frank Jenau P secondary parameters such as the coefficient of variation, the kurtosis or the skewness. A comparative analysis of these parameters, gained from PDs of idealized and artificial defects under DC voltage stress, outlines the possibility to differentiate between different types of fault [10] and defects in varying insulating media [11], [12]. Extensive experimental investigations and statistical evaluations, presented in [6], verify that the time domain analysis of PDs enables a precise defect classification.…”
Section: Introductionmentioning
confidence: 99%