Power quality analysis using frequency domain smooth-windowed Wigner-Ville distribution
Power quality has become a great concern to all electricity consumers. Poor power quality can cause equipment failure, data and economical losses. An automated monitoring system is needed to ensure signal quality, reduce diagnostic time and rectify failures. This paper presents the analysis of power...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/4462/ http://eprints.utem.edu.my/id/eprint/4462/1/ICSIPA_2011.pdf |
| _version_ | 1848887035355463680 |
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| author | Abdullah, Abdul Rahim Mohd Said, Nurul Ain Sha’ameri, Ahmad Zuri Ali, Fara Ashikin |
| author_facet | Abdullah, Abdul Rahim Mohd Said, Nurul Ain Sha’ameri, Ahmad Zuri Ali, Fara Ashikin |
| author_sort | Abdullah, Abdul Rahim |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | Power quality has become a great concern to all electricity consumers. Poor power quality can cause equipment failure, data and economical losses. An automated monitoring system is needed to ensure signal quality, reduce diagnostic time and rectify failures. This paper presents the analysis of power quality signals using frequency domain smooth-windowed Wigner-Ville distribution (FDSWWVD). The power quality signals focused are swell, sag, interruption, harmonic, interharmonic and transient based on IEEE Std. 1159-2009. The TFD represents signal jointly in time-frequency representation (TFR) with good frequency and time resolution. Thus, it is very appropriate to analyze the signals that consist of multi-frequency components and magnitude variations. However, there is no fixed kernel of the TFD can be used to remove cross-terms for all types of signals. A set of performance measures is defined and used to compare the TFRs to identify and verify the TFD that operated at optimal kernel parameters. The result shows that FDSWWVD offers good performance of TFR and appropriate for power quality analysis. |
| first_indexed | 2025-11-15T19:47:59Z |
| format | Conference or Workshop Item |
| id | utem-4462 |
| institution | Universiti Teknikal Malaysia Melaka |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:47:59Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utem-44622015-05-28T03:25:31Z http://eprints.utem.edu.my/id/eprint/4462/ Power quality analysis using frequency domain smooth-windowed Wigner-Ville distribution Abdullah, Abdul Rahim Mohd Said, Nurul Ain Sha’ameri, Ahmad Zuri Ali, Fara Ashikin TK Electrical engineering. Electronics Nuclear engineering Power quality has become a great concern to all electricity consumers. Poor power quality can cause equipment failure, data and economical losses. An automated monitoring system is needed to ensure signal quality, reduce diagnostic time and rectify failures. This paper presents the analysis of power quality signals using frequency domain smooth-windowed Wigner-Ville distribution (FDSWWVD). The power quality signals focused are swell, sag, interruption, harmonic, interharmonic and transient based on IEEE Std. 1159-2009. The TFD represents signal jointly in time-frequency representation (TFR) with good frequency and time resolution. Thus, it is very appropriate to analyze the signals that consist of multi-frequency components and magnitude variations. However, there is no fixed kernel of the TFD can be used to remove cross-terms for all types of signals. A set of performance measures is defined and used to compare the TFRs to identify and verify the TFD that operated at optimal kernel parameters. The result shows that FDSWWVD offers good performance of TFR and appropriate for power quality analysis. 2011-11-16 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/4462/1/ICSIPA_2011.pdf Abdullah, Abdul Rahim and Mohd Said, Nurul Ain and Sha’ameri, Ahmad Zuri and Ali, Fara Ashikin (2011) Power quality analysis using frequency domain smooth-windowed Wigner-Ville distribution. In: IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2011, 16-18 Nov. 2011, Kuala Lumpur. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Abdullah, Abdul Rahim Mohd Said, Nurul Ain Sha’ameri, Ahmad Zuri Ali, Fara Ashikin Power quality analysis using frequency domain smooth-windowed Wigner-Ville distribution |
| title | Power quality analysis using frequency domain smooth-windowed Wigner-Ville distribution |
| title_full | Power quality analysis using frequency domain smooth-windowed Wigner-Ville distribution |
| title_fullStr | Power quality analysis using frequency domain smooth-windowed Wigner-Ville distribution |
| title_full_unstemmed | Power quality analysis using frequency domain smooth-windowed Wigner-Ville distribution |
| title_short | Power quality analysis using frequency domain smooth-windowed Wigner-Ville distribution |
| title_sort | power quality analysis using frequency domain smooth-windowed wigner-ville distribution |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utem.edu.my/id/eprint/4462/ http://eprints.utem.edu.my/id/eprint/4462/1/ICSIPA_2011.pdf |