1993
DOI: 10.1109/14.249365
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Classification of partial discharges

Abstract: Classification of partial discharges aims at the recognition of discharges of unknown origin. This classification is vital for the evaluation of discharges in tested constructions. For a long time, classification was performed by eye, studying discharge patterns at the well-known ellipse at an oscilloscope screen. In later years the introduction of digital processing techniques allowed automation of the recognition procedure. This paper reports on these procedures and applies them to a number of actual HV cons… Show more

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Cited by 285 publications
(113 citation statements)
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“…These shapes can be described by a set of statistical moments. These moments are identical to those used in our laboratory for ac discharges [17] and include skewness, kurtosis, number of peaks, asymmetry and cross-correlation factor. A set of 22 statistical operators is calculated and forms a fingeqrint of the discharge.…”
Section: Evaluation Of Pd Datamentioning
confidence: 99%
See 1 more Smart Citation
“…These shapes can be described by a set of statistical moments. These moments are identical to those used in our laboratory for ac discharges [17] and include skewness, kurtosis, number of peaks, asymmetry and cross-correlation factor. A set of 22 statistical operators is calculated and forms a fingeqrint of the discharge.…”
Section: Evaluation Of Pd Datamentioning
confidence: 99%
“…We used the Centour Score method [17] for comparison of measured fingerprints with those stored in the database as a result of its success for ac discharge classification. The Centour Score reflects the resemblance of the fingerprint of the unknown defect to the defects stored in the database.…”
Section: Classification Techniquementioning
confidence: 99%
“…In early days, a partial discharge signal was recognized by means of the features revealed on an elliptical trajectory. However, as a consequence of the long term technology progress made over the years, commercial instruments are now able to accurately sense partial discharge signals [14,15], emanating from an insulation facility, analyze the dielectric punchthrough process, provide a maintenance message and prevent catastrophes, but such commercial instruments, costing as much as a million dollars, preprocess field detected signals in their front end circuits, due to which part of intrinsic physical meanings contained in the signals are lost. For this sake, a diagnostic tool for pattern recognition of GIS defects is presented in this work.…”
Section: Open Accessmentioning
confidence: 99%
“…In both cases, the activity and the type of discharge was checked with the commercial PD acquisition system confirming surface PD in the first case and corona PD for the second, as can be seen in their phase-resolved partial discharge patterns in Figure 4, Kreuger et al (1993). …”
Section: Test Objects Designmentioning
confidence: 99%