Wavelet-based signal processing for disturbance classification and measurement

A. M. Gaouda; S. H. Kanoun; M. M.A. Salama; A. Y. Chikhani

doi:10.1049/ip-gtd:20020119

Wavelet-based signal processing for disturbance classification and measurement

A. M. Gaouda, S. H. Kanoun, M. M.A. Salama, A. Y. Chikhani

Research output: Contribution to journal › Article › peer-review

85 Citations (Scopus)

Abstract

A systematic method for analysing power system disturbances in the wavelet domain is described. Wavelet domain capabilities in detection, classification and measurements of various power system disturbances are presented. The distortion event is mapped into the wavelet domain and extracted from the measured signal. The duration of the distortion is measured in a noisy environment and its energy and RMS value evaluated. The proposed algorithm is applied to various power system disturbances.

Original language	English
Pages (from-to)	310-318
Number of pages	9
Journal	IEE Proceedings: Generation, Transmission and Distribution
Volume	149
Issue number	3
DOIs	https://doi.org/10.1049/ip-gtd:20020119
Publication status	Published - May 2002
Externally published	Yes

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1049/ip-gtd:20020119

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abstract = "A systematic method for analysing power system disturbances in the wavelet domain is described. Wavelet domain capabilities in detection, classification and measurements of various power system disturbances are presented. The distortion event is mapped into the wavelet domain and extracted from the measured signal. The duration of the distortion is measured in a noisy environment and its energy and RMS value evaluated. The proposed algorithm is applied to various power system disturbances.",

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AU - Kanoun, S. H.

AU - Salama, M. M.A.

AU - Chikhani, A. Y.

PY - 2002/5

Y1 - 2002/5

N2 - A systematic method for analysing power system disturbances in the wavelet domain is described. Wavelet domain capabilities in detection, classification and measurements of various power system disturbances are presented. The distortion event is mapped into the wavelet domain and extracted from the measured signal. The duration of the distortion is measured in a noisy environment and its energy and RMS value evaluated. The proposed algorithm is applied to various power system disturbances.

AB - A systematic method for analysing power system disturbances in the wavelet domain is described. Wavelet domain capabilities in detection, classification and measurements of various power system disturbances are presented. The distortion event is mapped into the wavelet domain and extracted from the measured signal. The duration of the distortion is measured in a noisy environment and its energy and RMS value evaluated. The proposed algorithm is applied to various power system disturbances.

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Wavelet-based signal processing for disturbance classification and measurement

Abstract

ASJC Scopus subject areas

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