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  • Research Article
  • Open Access

Detection of Disturbances in Voltage Signals for Power Quality Analysis Using HOS

  • 1Email author,
  • 1,
  • 1,
  • 1 and
  • 2
EURASIP Journal on Advances in Signal Processing20072007:059786

  • Received: 1 May 2006
  • Accepted: 4 February 2007
  • Published:


This paper outlines a higher-order statistics (HOS)-based technique for detecting abnormal conditions in voltage signals. The main advantage introduced by the proposed technique refers to its capability to detect voltage disturbances and their start and end points in a frame whose length corresponds to, at least, samples or of the fundamental component if a sampling rate equal to Hz is considered. This feature allows the detection of disturbances in submultiples or multiples of one-cycle fundamental component if an appropriate sampling rate is considered. From the computational results, one can note that almost all abnormal and normal conditions are correctly detected if s256, 128, 64, 32, and 16 and the SNR is higher than 25 dB. In addition, the proposed technique is compared to a root mean square (rms)-based technique, which was recently developed to detect the presence of some voltage events as well as their sources in a frame whose length ranges from up to one-cycle fundamental component. The numerical results reveal that the proposed technique shows an improved performance when applied not only to synthetic data, but also to real one.


  • Information Technology
  • Quantum Information
  • Quality Analysis
  • Voltage Signal
  • Power Quality

Authors’ Affiliations

Department of Electrical Circuit, Federal University of Juiz de Fora, Juiz de Fora, MG, 36 036 330, Brazil
Department of Electrical Energy, Federal University of Juiz de Fora, Juiz de Fora, MG, 36 036 330, Brazil


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© Moisés V. Ribeiro et al. 2007

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.