Using Clustering Methods for the Identification of Acoustic Emission Signals Generated by the Selected Form of Partial Discharge in Oil-Paper Insulation

• Autorzy: Borucki S. , Łuczak J. , Zmarzły D.

Identyfikatory

DOI

10.24425/122368

• Języki publikacji: EN

Abstrakty

EN

The article presents the results concerning the use of clustering methods to identify signals of acoustic emission (AE) generated by partial discharge (PD) in oil-paper insulation. The conducted testing featured qualitative analysis of the following clustering methods: single linkage, complete linkage, average linkage, centroid linkage and Ward linkage. The purpose of the analysis was to search the tested series of AE signal measurements, deriving from three various PD forms, for elements of grouping (clusters), which are most similar to one another and maximally different than in other groups in terms of a specific feature or adopted criteria. Then, the conducted clustering was used as a basis for attempting to assess the effectiveness of identification of particular PD forms that modelled exemplary defects of the power transformer’s oil-paper insulation system. The relevant analyses and simulations were conducted using the Matlab estimation environment and the clustering procedures available in it. The conducted tests featured analyses of the results of the series of measurements of acoustic emissions generated by the basic PD forms, which were obtained in laboratory conditions using spark gap systems that modelled the defects of the power transformer’s oil-paper insulation.

Słowa kluczowe

EN

acoustic emission method; acoustic signals; partial discharges; insulation; power transformer

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2018
• Tom: Vol. 43, No. 2
• Strony: 207--215
• Opis fizyczny: Bibliogr. 20 poz., rys., tab., wykr.

Twórcy

autor

Borucki S.

• Institute of Electrical Power and Renewable Energy, Opole University of Technology, Prószkowska 76, 45-758 Opole, Poland

autor

Łuczak J.

• Institute of Electrical Power and Renewable Energy, Opole University of Technology, Prószkowska 76, 45-758 Opole, Poland

autor

Zmarzły D.

• Institute of Electrical Power and Renewable Energy, Opole University of Technology, Prószkowska 76, 45-758 Opole, Poland

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).