Assessment of utility of the corona audible signal in the diagnostic process of the technical condition of UHV transmission lines
The paper deals with application of neural network techniques to recognition of typical damages of the transmission circuit elements in UHV power lines. The damage indicator is the acoustic signal generated by the corona effect, the intensity of which increases as a result of dam...
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| Format: | Article |
| Language: | English |
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Institute of Fundamental Technological Research Polish Academy of Sciences
2004-01-01
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| Series: | Archives of Acoustics |
| Online Access: | https://acoustics.ippt.pan.pl/index.php/aa/article/view/485 |
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| author | T. Wszołek |
| author_facet | T. Wszołek |
| author_sort | T. Wszołek |
| collection | DOAJ |
| description | The paper deals with application of neural network
techniques to recognition of typical damages of the transmission circuit
elements in UHV power lines. The damage indicator is the acoustic signal
generated by the corona effect, the intensity of which increases as a result of
damage or contamination of the conductor surface. The primary difficulty in the
diagnostic process is the necessity to distinguish between the signals generated
by the surface damages and contaminations. The problem can not be solved neither
by the analysis of RF interference signal nor by the classical methods of the
acoustic signal analysis. Particular attention has been focused on the
parametrization of the acoustic signal of corona effect and selection of
distinctive features, which could be useful in distinguishment of the origins of
the increased corona effect in dry conductor surface conditions. For that task
the aggregation analysis has been applied, in particular the possibilities
offered by "Statistica"[ampersand]reg; software package. The data used in the analysis has
been obtained from laboratory studies in Institute of Power Engineering in
Warsaw, where typical surface damages and contaminations of the transmission
line elements have been simulated. Keywords: corona noise, diagnosis, acoustics,
cluster analysis, neural network. |
| format | Article |
| id | doaj-art-4ba4a5f73b2b4b07b84cd50ab0c0258e |
| institution | Kabale University |
| issn | 0137-5075 2300-262X |
| language | English |
| publishDate | 2004-01-01 |
| publisher | Institute of Fundamental Technological Research Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Acoustics |
| spelling | doaj-art-4ba4a5f73b2b4b07b84cd50ab0c0258e2025-08-20T03:50:44ZengInstitute of Fundamental Technological Research Polish Academy of SciencesArchives of Acoustics0137-50752300-262X2004-01-01292Assessment of utility of the corona audible signal in the diagnostic process of the technical condition of UHV transmission linesT. Wszołek0AGH University of Science and Technology, Department of Mechanics and VibroacousticsThe paper deals with application of neural network techniques to recognition of typical damages of the transmission circuit elements in UHV power lines. The damage indicator is the acoustic signal generated by the corona effect, the intensity of which increases as a result of damage or contamination of the conductor surface. The primary difficulty in the diagnostic process is the necessity to distinguish between the signals generated by the surface damages and contaminations. The problem can not be solved neither by the analysis of RF interference signal nor by the classical methods of the acoustic signal analysis. Particular attention has been focused on the parametrization of the acoustic signal of corona effect and selection of distinctive features, which could be useful in distinguishment of the origins of the increased corona effect in dry conductor surface conditions. For that task the aggregation analysis has been applied, in particular the possibilities offered by "Statistica"[ampersand]reg; software package. The data used in the analysis has been obtained from laboratory studies in Institute of Power Engineering in Warsaw, where typical surface damages and contaminations of the transmission line elements have been simulated. Keywords: corona noise, diagnosis, acoustics, cluster analysis, neural network. https://acoustics.ippt.pan.pl/index.php/aa/article/view/485 |
| spellingShingle | T. Wszołek Assessment of utility of the corona audible signal in the diagnostic process of the technical condition of UHV transmission lines Archives of Acoustics |
| title | Assessment of utility of the corona audible signal in the diagnostic process
of the technical condition of UHV transmission lines |
| title_full | Assessment of utility of the corona audible signal in the diagnostic process
of the technical condition of UHV transmission lines |
| title_fullStr | Assessment of utility of the corona audible signal in the diagnostic process
of the technical condition of UHV transmission lines |
| title_full_unstemmed | Assessment of utility of the corona audible signal in the diagnostic process
of the technical condition of UHV transmission lines |
| title_short | Assessment of utility of the corona audible signal in the diagnostic process
of the technical condition of UHV transmission lines |
| title_sort | assessment of utility of the corona audible signal in the diagnostic process of the technical condition of uhv transmission lines |
| url | https://acoustics.ippt.pan.pl/index.php/aa/article/view/485 |
| work_keys_str_mv | AT twszołek assessmentofutilityofthecoronaaudiblesignalinthediagnosticprocessofthetechnicalconditionofuhvtransmissionlines |