SAX-based decomposition of non-stationary power quality waveforms
conference contribution
posted on 2024-11-14, 09:18 authored by M J Afroni, Darmawan SoetantoDarmawan Soetanto, David StirlingDavid StirlingThe Hilbert Huang Transform (HHT) is a powerful tool for Power Quality (PQ) classifications. One of the main advantages of the HHT is its ability to analyze non-stationary complex waveforms with very good time resolution. However, like other waveform classification techniques, it has difficulty in resolving the instant of sudden changes in the waveform. To overcome the above problems, SAX (Symbolic Aggregate ApproXimation) method is proposed to convert the signal into symbols which facilitates a pattern detector algorithm to identify the border of the stationary signals within a non-stationary signal. Results from simulations will be provided and discussed. © 2012 IEEE.
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Citation
M. J. Afroni, D. Sutanto & D. Stirling, "SAX-based decomposition of non-stationary power quality waveforms," in Proceedings of International Conference on Harmonics and Quality of Power, ICHQP, 2012, pp. 829-834.Parent title
Proceedings of International Conference on Harmonics and Quality of Power, ICHQPPagination
829-834Publisher website/DOI
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EnglishRIS ID
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