Title :
SAX-based decomposition of non-stationary power quality waveforms
Author :
Afroni, M.J. ; Sutanto, D. ; Stirling, D.
Author_Institution :
Dept. of Electr., Comput. & Telecommun. Eng., Univ. of Wollongong, Wollongong, NSW, Australia
Abstract :
The 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.
Keywords :
Hilbert transforms; approximation theory; power supply quality; signal classification; HHT; Hilbert Huang transform; PQ classifications; SAX-based decomposition; nonstationary complex waveforms analysis; nonstationary power quality waveforms; nonstationary signal; pattern detector algorithm; power quality classifications; signal symbols conversion; stationary signals; symbolic aggregate approximation method; waveform classification techniques; Indexes; Splines (mathematics); Harmonics; Hilbert Huang Transform; Power Quality; SAX;
Conference_Titel :
Harmonics and Quality of Power (ICHQP), 2012 IEEE 15th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-1944-7
DOI :
10.1109/ICHQP.2012.6381218
