Short-time Fourier transforms and Wigner-Ville distributions applied to the calibration of power frequency harmonic analyzers

Wright, P.S.

doi:10.1109/19.769633

Cited by 103 publications

(30 citation statements)

References 4 publications

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“…Amongst the several methods for frequency, amplitude and phase estimation of nonstationary signals, Discrete Fourier Transform (DFT), and Fast Fourier Transform (FFT) are widely used [1][2][3]. However, both the above methods suffer from aliasing, leakage, and picket fence effects and hence need error compensation and adaptive window width [4].…”

Section: Introductionmentioning

confidence: 98%

A hybrid unscented filtering and particle swarm optimization technique for harmonic analysis of nonstationary signals

2010

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Section: Introductionmentioning

confidence: 98%

A hybrid unscented filtering and particle swarm optimization technique for harmonic analysis of nonstationary signals

2010

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“…The short time Fourier transforms (STFT) based power frequency harmonic analyzer has been discussed in [7] for the non stationary signals. The Fourier and wavelet transform based fuzzy expert system for the detection and classification of PQ disturbances has been demonstrated in [8].…”

Section: Introductionmentioning

confidence: 99%

Automatic Recognition of Power Quality Disturbances using Kalman Filter and Fuzzy Expert System

Sundaram¹,

Neela²

2016

IJCA

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An efficient method for power quality disturbances recognition and classification is presented in this paper. The method used is based on the Kalman filter and fuzzy expert system. Various classes of disturbances are generated using Matlab parametric equations. Kalman filter is used for extracting the input features of various power disturbances. The extracted features such as amplitude and slope are applied as inputs to the fuzzy expert system that uses some rules on these inputs to classify the PQ disturbances. Fuzzy classifier has been implemented and tested for various types of power quality disturbances. The results clearly indicate that the proposed method has the ability to detect and classify PQ disturbances accurately. The performance of the proposed method has been evaluated by comparing the results against Kalman filter based neural classifier.

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“…STFT is also unable to estimate the damping ratio of the signal. It has been used for harmonic amplitude measurements in [21] and detecting transient voltage disturbances in [22].…”

Section: Introductionmentioning

confidence: 99%

A Fourier Based Wavelet Approach Using Heisenberg’s Uncertainty Principle and Shannon’s Entropy Criterion to Monitor Power System Small Signal Oscillations

Hosseini

Amjady

Velayati

2015

IEEE Trans. Power Syst.

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This paper presents a novel approach to estimate modal parameters of power systems for monitoring and analyzing the embedded modes of small signal oscillations. The proposed approach applies continuous wavelet transform (CWT) to identify damping and frequency of critical modes based on its time-frequency localization capability. The CWT has modified Morlet function as its mother wavelet. A procedure is also presented to fine-tune settings of the modified Morlet function of the CWT based on Heisenberg's uncertainty principle and Shannon's entropy criterion. Additionally, high computational burden of the time-frequency methods is an important obstacle in online monitoring of power systems by these methods. To remedy this problem, the convolution integral of the CWT is calculated by efficient fast Fourier transform (FFT) routine in the proposed approach leading to a low computational burden. The proposed approach is compared with several other signal processing methods for modal identification of power systems. These comparisons illustrate effectiveness of the proposed approach, regarding run time, persistency against noise and estimation accuracy for online monitoring of small signal oscillations. Index Terms-Continuous wavelet transform (CWT), fastFourier transform (FFT), Heisenberg's uncertainty principle, modal identification, Shannon's entropy, small signal oscillations.

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Short-time Fourier transforms and Wigner-Ville distributions applied to the calibration of power frequency harmonic analyzers

Cited by 103 publications

References 4 publications

A hybrid unscented filtering and particle swarm optimization technique for harmonic analysis of nonstationary signals

A hybrid unscented filtering and particle swarm optimization technique for harmonic analysis of nonstationary signals

Automatic Recognition of Power Quality Disturbances using Kalman Filter and Fuzzy Expert System

A Fourier Based Wavelet Approach Using Heisenberg’s Uncertainty Principle and Shannon’s Entropy Criterion to Monitor Power System Small Signal Oscillations

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