Bilinear Time-Frequency Analysis Techniques for Power Quality Signals
Bilinear time-frequency distributions (TFDs) are powerful techniques that offer good time and frequency resolution of time-frequency representation (TFR). It is very appropriate to analyze power quality signals which consist of non-stationary and multi-frequency components. However, the TFDs suffer...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/4478/ http://eprints.utem.edu.my/id/eprint/4478/1/IMECS2012_pp991-995.pdf |
| _version_ | 1848887036390408192 |
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| author | Abdullah, Abdul Rahim Sha'ameri, Ahmad Zuri Mohd Said, Nurul Ain Mohd Saad, Norhashimah Jidin, Auzani |
| author_facet | Abdullah, Abdul Rahim Sha'ameri, Ahmad Zuri Mohd Said, Nurul Ain Mohd Saad, Norhashimah Jidin, Auzani |
| author_sort | Abdullah, Abdul Rahim |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | Bilinear time-frequency distributions (TFDs) are powerful techniques that offer good time and frequency resolution of time-frequency representation (TFR). It is very appropriate to analyze power quality signals which consist of non-stationary and multi-frequency components. However, the
TFDs suffer from interference because of cross-terms. This
paper presents the analysis of power quality signals using
bilinear TFDs. The chosen TFDs are smooth-windowed Wigner-Ville distribution (SWWVD), Choi-Williams distribution (CWD), B-distribution (BD) and modified Bdistribution (MBD). The power quality signals focused are
swell, sag, interruption, harmonic, interharmonic and transient based on IEEE Std. 1159-2009. To identify and verify the TFDs that operated at optimal kernel parameters, a set of performance measures are defined and used to compare the TFRs. The performance measures are main-lobe width (MLW), peak-to-side lobe ratio (PSLR), signal-to-cross-terms ratio (SCR) and absolute percentage error (APE). The result shows that SWWVD is the best bilinear TFD and appropriate for power quality signal analysis. |
| first_indexed | 2025-11-15T19:48:00Z |
| format | Conference or Workshop Item |
| id | utem-4478 |
| institution | Universiti Teknikal Malaysia Melaka |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:48:00Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utem-44782015-05-28T03:25:34Z http://eprints.utem.edu.my/id/eprint/4478/ Bilinear Time-Frequency Analysis Techniques for Power Quality Signals Abdullah, Abdul Rahim Sha'ameri, Ahmad Zuri Mohd Said, Nurul Ain Mohd Saad, Norhashimah Jidin, Auzani TK Electrical engineering. Electronics Nuclear engineering Bilinear time-frequency distributions (TFDs) are powerful techniques that offer good time and frequency resolution of time-frequency representation (TFR). It is very appropriate to analyze power quality signals which consist of non-stationary and multi-frequency components. However, the TFDs suffer from interference because of cross-terms. This paper presents the analysis of power quality signals using bilinear TFDs. The chosen TFDs are smooth-windowed Wigner-Ville distribution (SWWVD), Choi-Williams distribution (CWD), B-distribution (BD) and modified Bdistribution (MBD). The power quality signals focused are swell, sag, interruption, harmonic, interharmonic and transient based on IEEE Std. 1159-2009. To identify and verify the TFDs that operated at optimal kernel parameters, a set of performance measures are defined and used to compare the TFRs. The performance measures are main-lobe width (MLW), peak-to-side lobe ratio (PSLR), signal-to-cross-terms ratio (SCR) and absolute percentage error (APE). The result shows that SWWVD is the best bilinear TFD and appropriate for power quality signal analysis. 2012-03-14 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/4478/1/IMECS2012_pp991-995.pdf Abdullah, Abdul Rahim and Sha'ameri, Ahmad Zuri and Mohd Said, Nurul Ain and Mohd Saad, Norhashimah and Jidin, Auzani (2012) Bilinear Time-Frequency Analysis Techniques for Power Quality Signals. In: International MultiConference of Engineers and Computer Scientists 2012 (IMECS 2012)., 14-16 March 2012, hong kong. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Abdullah, Abdul Rahim Sha'ameri, Ahmad Zuri Mohd Said, Nurul Ain Mohd Saad, Norhashimah Jidin, Auzani Bilinear Time-Frequency Analysis Techniques for Power Quality Signals |
| title | Bilinear Time-Frequency Analysis Techniques for Power Quality Signals |
| title_full | Bilinear Time-Frequency Analysis Techniques for Power Quality Signals |
| title_fullStr | Bilinear Time-Frequency Analysis Techniques for Power Quality Signals |
| title_full_unstemmed | Bilinear Time-Frequency Analysis Techniques for Power Quality Signals |
| title_short | Bilinear Time-Frequency Analysis Techniques for Power Quality Signals |
| title_sort | bilinear time-frequency analysis techniques for power quality signals |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utem.edu.my/id/eprint/4478/ http://eprints.utem.edu.my/id/eprint/4478/1/IMECS2012_pp991-995.pdf |