Power quality detection and classification using wavelet-multiresolution signal decomposition

A. M. Gaouda; M. M.A. Salama; M. R. Sultan; A. Y. Chikhani

doi:10.1109/61.796242

Power quality detection and classification using wavelet-multiresolution signal decomposition

A. M. Gaouda, M. M.A. Salama, M. R. Sultan, A. Y. Chikhani

Department of Electrical and Communication Engineering

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

539 Citations (Scopus)

Abstract

The wavelet transform is introduced as a powerful tool for monitoring power quality problems generated due to dynamic performance of industrial plants. The paper presents a multiresolution signal decomposition technique as an efficient method in analyzing transient events. The multiresolution signal decomposition has the ability to detect and localize transient events and furthermore classify different power quality disturbances. It can also be used to distinguish among similar disturbances.

Original language	English
Pages (from-to)	1469-1476
Number of pages	8
Journal	IEEE Transactions on Power Delivery
Volume	14
Issue number	4
DOIs	https://doi.org/10.1109/61.796242
Publication status	Published - Oct 1999

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1109/61.796242

Cite this

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title = "Power quality detection and classification using wavelet-multiresolution signal decomposition",

abstract = "The wavelet transform is introduced as a powerful tool for monitoring power quality problems generated due to dynamic performance of industrial plants. The paper presents a multiresolution signal decomposition technique as an efficient method in analyzing transient events. The multiresolution signal decomposition has the ability to detect and localize transient events and furthermore classify different power quality disturbances. It can also be used to distinguish among similar disturbances.",

author = "Gaouda, {A. M.} and Salama, {M. M.A.} and Sultan, {M. R.} and Chikhani, {A. Y.}",

year = "1999",

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AU - Sultan, M. R.

AU - Chikhani, A. Y.

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N2 - The wavelet transform is introduced as a powerful tool for monitoring power quality problems generated due to dynamic performance of industrial plants. The paper presents a multiresolution signal decomposition technique as an efficient method in analyzing transient events. The multiresolution signal decomposition has the ability to detect and localize transient events and furthermore classify different power quality disturbances. It can also be used to distinguish among similar disturbances.

AB - The wavelet transform is introduced as a powerful tool for monitoring power quality problems generated due to dynamic performance of industrial plants. The paper presents a multiresolution signal decomposition technique as an efficient method in analyzing transient events. The multiresolution signal decomposition has the ability to detect and localize transient events and furthermore classify different power quality disturbances. It can also be used to distinguish among similar disturbances.

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Power quality detection and classification using wavelet-multiresolution signal decomposition

Abstract

ASJC Scopus subject areas

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