Using Clustering Methods for the Identification of Acoustic Emission Signals Generated by the Selected Form of Partial Discharge in Oil-Paper Insulation
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 linka...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Fundamental Technological Research Polish Academy of Sciences
2018-01-01
|
| Series: | Archives of Acoustics |
| Subjects: | |
| Online Access: | https://acoustics.ippt.pan.pl/index.php/aa/article/view/2091 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850054524670050304 |
|---|---|
| author | Sebastian BORUCKI Jacek ŁUCZAK Dariusz ZMARZŁY |
| author_facet | Sebastian BORUCKI Jacek ŁUCZAK Dariusz ZMARZŁY |
| author_sort | Sebastian BORUCKI |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-90819ab41c574d039e04f54e133b7d96 |
| institution | DOAJ |
| issn | 0137-5075 2300-262X |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Institute of Fundamental Technological Research Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Acoustics |
| spelling | doaj-art-90819ab41c574d039e04f54e133b7d962025-08-20T02:52:13ZengInstitute of Fundamental Technological Research Polish Academy of SciencesArchives of Acoustics0137-50752300-262X2018-01-0143210.24425/122368Using Clustering Methods for the Identification of Acoustic Emission Signals Generated by the Selected Form of Partial Discharge in Oil-Paper InsulationSebastian BORUCKI0Jacek ŁUCZAK1Dariusz ZMARZŁY2Opole University of TechnologyOpole University of TechnologyOpole University of TechnologyThe 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.https://acoustics.ippt.pan.pl/index.php/aa/article/view/2091acoustic emission methodacoustic signalspartial dischargesinsulationpower transformer |
| spellingShingle | Sebastian BORUCKI Jacek ŁUCZAK Dariusz ZMARZŁY Using Clustering Methods for the Identification of Acoustic Emission Signals Generated by the Selected Form of Partial Discharge in Oil-Paper Insulation Archives of Acoustics acoustic emission method acoustic signals partial discharges insulation power transformer |
| title | Using Clustering Methods for the Identification of Acoustic Emission Signals Generated by the Selected Form of Partial Discharge in Oil-Paper Insulation |
| title_full | Using Clustering Methods for the Identification of Acoustic Emission Signals Generated by the Selected Form of Partial Discharge in Oil-Paper Insulation |
| title_fullStr | Using Clustering Methods for the Identification of Acoustic Emission Signals Generated by the Selected Form of Partial Discharge in Oil-Paper Insulation |
| title_full_unstemmed | Using Clustering Methods for the Identification of Acoustic Emission Signals Generated by the Selected Form of Partial Discharge in Oil-Paper Insulation |
| title_short | Using Clustering Methods for the Identification of Acoustic Emission Signals Generated by the Selected Form of Partial Discharge in Oil-Paper Insulation |
| title_sort | using clustering methods for the identification of acoustic emission signals generated by the selected form of partial discharge in oil paper insulation |
| topic | acoustic emission method acoustic signals partial discharges insulation power transformer |
| url | https://acoustics.ippt.pan.pl/index.php/aa/article/view/2091 |
| work_keys_str_mv | AT sebastianborucki usingclusteringmethodsfortheidentificationofacousticemissionsignalsgeneratedbytheselectedformofpartialdischargeinoilpaperinsulation AT jacekłuczak usingclusteringmethodsfortheidentificationofacousticemissionsignalsgeneratedbytheselectedformofpartialdischargeinoilpaperinsulation AT dariuszzmarzły usingclusteringmethodsfortheidentificationofacousticemissionsignalsgeneratedbytheselectedformofpartialdischargeinoilpaperinsulation |