2016
DOI: 10.1515/aoa-2016-0026
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Study on Descriptors of Acoustic Emission Signals Generated by Partial Discharges under Laboratory Conditions and in On-Site Electrical Power Transformer

Abstract: An acoustic emission method (AE) is widespread and often applied for partial discharge (PD) diagnostics, mainly due to its ease of application as well as noninvasiveness and relatively high sensitivity. This paper presents comparative analysis of AE signals measurement results archived under laboratory conditions as well as on-site actual AE signals generated by inside PDs in electrical power transformer during its normal service. Three different PD model sources are applied for laboratory research: point to p… Show more

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Cited by 30 publications
(14 citation statements)
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“…Partial discharge (PD) detection plays an important role in the evaluation of insulation condition [1]. Different PD types may cause diverse damages to equipment insulation [2].…”
Section: Introductionmentioning
confidence: 99%
“…Partial discharge (PD) detection plays an important role in the evaluation of insulation condition [1]. Different PD types may cause diverse damages to equipment insulation [2].…”
Section: Introductionmentioning
confidence: 99%
“…Thereunder in order to provide an adequate measurement results interpretation an objective comparison of achieved data with representative database need to be supported. In most cases an individual, relative measurement result is not an explicit and its interpretation may differ with reference to different apparatus or environment conditions [15][16][17]. Generally there are two sensor types designed for PD detection in EM method: inductive ( Fig.1) and capacitive (Fig.…”
Section: Introductionmentioning
confidence: 99%
“…The development of modern technologies in the field of aerodynamics, composite materials, electronics, satellite navigation and robotics allowed to reach a qualitatively new level for the creation of unmanned aerial vehicles [1][2][3][4][5]. Now there are many different unmanned aerial vehicles or drones for solving various problems.…”
Section: Introductionmentioning
confidence: 99%