2009 International Conference on Advances in Computational Tools for Engineering Applications 2009
DOI: 10.1109/actea.2009.5227896
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Application of Wavelet Transform in the field of Electromagnetic Compatibility and power quality of industrial systems

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Cited by 5 publications
(3 citation statements)
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“…Waveletbased signal processing technique is an effective tool for power system transient analysis and power system relaying by Pang and Kezunovic, (2010). The applications of wavelet transform in power system have been reported for fault detection, fault classification, power system disturbance modelling and identification by Zheng-You et al (2006) and power quality analysis by Bousaleh et al (2009).…”
Section: Methodsmentioning
confidence: 99%
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“…Waveletbased signal processing technique is an effective tool for power system transient analysis and power system relaying by Pang and Kezunovic, (2010). The applications of wavelet transform in power system have been reported for fault detection, fault classification, power system disturbance modelling and identification by Zheng-You et al (2006) and power quality analysis by Bousaleh et al (2009).…”
Section: Methodsmentioning
confidence: 99%
“…Lotfifard et al (2009) worked with Prony method based on current signal to sense symmetrical faults in presence of power swings. Wavelet transform based current and/or voltage signal decomposition for fault detection in presence of power swings is reported by Brahma (2007), Alsyoufi and Hajjar (2019), Hajjar (2013) with other applications of wavelet transform presented in Zheng-You et al (2006), Bousaleh et al (2009), Williams and Amaratunga (1994) and Zhu et al (1997). Other studies reported a differential power-based approach using auto regression technique by Venkatesh and Swarup (2012) and frequency components of three phase active power by Rao and Pradhan (2012) and Mahamedi and Zhu (2012) for fault identification during power swings.…”
Section: Introductionmentioning
confidence: 99%
“…Where the disturbance data decomposed into other signals which represent a smoothed version and a detailed version of the original signal. The decomposition is performed using wavelet multi-resolution Analysis (MRA) by signal decomposition techniques [3][4][5][6]. o Different compression is performed through signal decomposition, thresholding of wavelet transform coefficients, and signal reconstruction.…”
Section: Wavelet Based Data Compressionmentioning
confidence: 99%