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  • Research Article
  • Open Access

Power Quality Analysis Using Bilinear Time-Frequency Distributions

EURASIP Journal on Advances in Signal Processing20112010:837360

  • Received: 8 January 2010
  • Accepted: 8 December 2010
  • Published:


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 nonstationary and multi-frequency components. However, the TFDs suffer from interference because of cross-terms. Many TFDs have been implemented, and there is no fixed window or kernel that can remove the cross-terms for all types of signals. In this paper, the bilinear TFDs are implemented to analyze power quality signals such as smooth-windowed Wigner-Ville distribution (SWWVD), Choi-Williams distribution (CWD), B-distribution (BD), and modified B-distribution (MBD). The power quality signals focused are swell, sag, interruption, harmonic, interharmonic, and transient based on IEEE Std, 1159-1995. A set of performance measures is defined and used to compare the TFRs. It shows that SWWVD presents the best performance and is selected for power quality signal analysis. Thus, an adaptive optimal kernel SWWVD is designed to determine the separable kernel automatically from the input signal.


  • Input Signal
  • Quantum Information
  • Signal Analysis
  • Good Time
  • Quality Analysis

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Authors’ Affiliations

Faculty of Electrical Engineering, Technical university of Malaysia Malacca, 76100 Malacca, Malaysia
Faculty of Electrical Engineering, Technical university of Malaysia, 81310 Johor, Malaysia


© A. R. Abdullah and A. Z. Sha'ameri. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.