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Journal ArticleDOI

Antidistortion method for wavelet transform filter banks and nonstationary power system waveform harmonic analysis

Van Long Pham, +1 more
- Vol. 148, Iss: 2, pp 117-122
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TLDR
In this article, a method is presented for eliminating the effect of imperfect frequency response of the filters in wavelet transform (WT) filter banks, and a WT-based algorithm for harmonic analysis of nonstationary power system waveforms.
Abstract
A method is presented for eliminating the effect of imperfect frequency response of the filters in wavelet transform (WT) filter banks, and a WT-based algorithm for harmonic analysis of nonstationary power system waveforms. The method recovers the signal magnitude, which is distorted due to the imperfect response of filters. The WT-based algorithm is then developed. The algorithm is incorporated with the above antidistortion method to give accurate harmonic magnitudes. The power and practicality of the algorithm are illustrated through its application for the diagnosis of a motor-starting problem, which occurred in the Western Australia power system.

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Citations
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Journal ArticleDOI

Analysis of Harmonics in Power Systems Using the Wavelet-Packet Transform

TL;DR: The proposed algorithm decomposes the voltage/current waveforms into the uniform frequency bands corresponding to the odd-harmonic components of the signal and uses a method to reduce the spectral leakage due to the imperfect frequency response of the used wavelet filter bank.
Journal ArticleDOI

Hybrid Wavelet and Hilbert Transform With Frequency-Shifting Decomposition for Power Quality Analysis

TL;DR: A novel frequency-shifting wavelet decomposition via the Hilbert transform is introduced for PQ analysis and can be used for estimating power quantities accurately and for detecting flickers.
Journal ArticleDOI

Complex power quality disturbances classification via curvelet transform and deep learning

TL;DR: The achieved results show that the SFD classifier is more proficient than the multiclass SVM and other present methods, and can be efficiently used to classify the single and complex PQ disturbances.
Journal ArticleDOI

Adjustable-Speed Drive Bearing-Fault Detection Via Wavelet Packet Decomposition

TL;DR: This paper addresses the application of motor current signature analysis using wavelet packet decomposition to detect bearing fault in adjustable speed drives.
Proceedings ArticleDOI

Analysis of Harmonics in Power Systems Using the Wavelet Packet Transform

TL;DR: In this article, a wavelet-packet transform (WPT) was proposed to decompose the voltage/current waveforms into uniform frequency bands corresponding to the odd harmonic components of the signal, and the results obtained using DFT analysis and the harmonic group concept introduced by the International Electrotechnical Commission using different test waveforms proposed in standard IEC-61000-4-7.
References
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Journal ArticleDOI

Wavelets and electromagnetic power system transients

TL;DR: The wavelet transform was introduced as a method for analyzing electromagnetic transients associated with power system faults and switching as mentioned in this paper, and it is more appropriate than the familiar Fourier methods for the nonperiodic, wide-band signals associated with EM transients.
Journal ArticleDOI

A measurement method based on the wavelet transform for power quality analysis

TL;DR: In this article, a measurement method for power quality analysis in electrical power systems is presented, which is the evolution of an iterative procedure already set up by the authors and allows the most relevant disturbances in electrical Power systems to be detected, localized and estimated automatically.
Journal ArticleDOI

Wavelet-transform-based algorithm for harmonic analysis of power system waveforms

TL;DR: In this paper, a wavelet transform based approach is proposed for the evaluation of the harmonic contents of power system waveforms, which can simultaneously identify all harmonics including integer, noninteger and subharmonics.
Journal ArticleDOI

Application of Gabor transform technique to supervise power system transient harmonics

TL;DR: In this paper, a novel approach to visualizing power system harmonic trends is proposed, where the Gabor transform technique, embedded with a Gaussian-like window function, is applied to help monitor harmonic variations in the time dimension.
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