Title :
A Kernel for recursive Phase-Corrected Wavelet Transform for Power Quality assessment
Author :
Crovato, C.D.P. ; Susin, A.
Author_Institution :
Embrasul Ind. Eletron., Porto Alegre
fDate :
Sept. 28 2008-Oct. 1 2008
Abstract :
This paper shows a new polynomial Kernel (a non-Gaussian window) suitable for the implementation of phase corrected wavelet transform, in a recursive manner, which the target is to track harmonics and inter-harmonics and achieve acceleration in the disturbances detection process and help the waveform characterization in power quality analyzers that must be in compliance at the same time with the power quality IEC standards. Synthetic signals are generated and tested simulating many kinds of disturbances, tracking the fundamental, in four cycles or less, even in noisy environments.
Keywords :
fault diagnosis; power supply quality; recursive estimation; wavelet transforms; IEC standards; Synthetic signals; polynomial Kernel; power quality analyzers; power quality assessment; recursive phase-corrected wavelet transform; Acceleration; Harmonic analysis; Kernel; Phase detection; Polynomials; Power quality; Power system harmonics; Target tracking; Wavelet analysis; Wavelet transforms; Amplitude estimation; Kernel; Power Quality; S-Transform; Wavelet Transform; frequency estimation; phase estimation; recursive algorithm; signal detection; signal processing;
Conference_Titel :
Harmonics and Quality of Power, 2008. ICHQP 2008. 13th International Conference on
Conference_Location :
Wollongong, NSW
Print_ISBN :
978-1-4244-1771-1
Electronic_ISBN :
978-1-4244-1770-4
DOI :
10.1109/ICHQP.2008.4668743