Gabor Transform, SPWVD, Gabor-Wigner Transform and Wavelet Transform - Tools For Power Quality Monitoring

Szmajda, M.; Górecki, Krzysztof; Mroczka, Janusz

doi:10.2478/v10178-010-0032-6

Cited by 68 publications

(42 citation statements)

References 10 publications

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“…The GWT has emerged as a powerful tool for the analysis of a number of real-life signals due to its ability to achieve high energy concentration of auto-terms with significant cross-term suppression including power quality disturbance signals [8,27]. The Gabor Wigner transform, however, fails to achieve optimal energy concentration in the situations when auto-terms overlap with cross-terms [28,29].…”

Section: Gabor Wigner Transform: a Combination Of Linear And Quadratimentioning

confidence: 99%

“…In order to improve the PQ, utilities must first record the information about the statistical behavior of the voltage and current in a power system and subsequently analyze that information for the occurrence of disturbances in order to avoid any damage to the equipment. These requirements have sparked a lot of interest in the development of signal processing algorithms for the analysis of electrical PQ [1][2][3][4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Power Quality Signals Using an Adaptive Time-Frequency Distribution

et al. 2016

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Spikes frequently occur in power quality (PQ) disturbance signals due to various causes such as switching of the inductive loads and the energization of the capacitor bank. Such signals are difficult to analyze using existing time-frequency (TF) methods as these signals have two orthogonal directions in a TF plane. To address this issue, this paper proposes an adaptive TF distribution (TFD) for the analysis of PQ signals. In the proposed adaptive method, the smoothing kernel's direction is locally adapted based on the direction of energy in the joint TF domain, and hence an improved TF resolution can be obtained. Furthermore, the performance of the proposed adaptive technique in analyzing electrical PQ is thoroughly studied for both synthetic and real world electrical power signals with the help of extensive simulations. The simulation results (specially for empirical data) indicate that the adaptive TFD method achieves high energy concentration in the TF domain for signals composed of tones and spikes. Moreover, the local adaptation of the smoothing kernel in the adaptive TFD enables the extraction of TF signature of spikes from TF images, which further helps in measuring the energy of spikes in a given signal. This new measure can be used to both detect the spikes as well as to quantify the extent of distortion caused by the spikes in a given signal.

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Section: Gabor Wigner Transform: a Combination Of Linear And Quadratimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of Power Quality Signals Using an Adaptive Time-Frequency Distribution

et al. 2016

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“…The other TFR: Discreet Dyadic Wavelet Transform (DDWT), Smoothed Pseudo Wigner-Ville Distribution (SPWVD) and new Gabor-Wigner Transform (GWT) are described. The main feature of the transforms, on the basis of testing signals, was presented [7]. Zygarlicki et al (2010) presents a new modification of the least-squares Prony's method for power-quality analysis in terms of estimation of harmonics and interharmonics in an electric power signal.…”

Section: IIImentioning

confidence: 99%

“…An improvement in convergence and processing time is achieved using this algorithm [6].The one-dimension frequency analysis based on DFT (Discrete FT ) is sufficient in many cases in detecting power disturbances and evaluating power quality (PQ). The character of the signal, using time-frequency analyses are performed by Szmajda et al(2010). The most common known timefrequency representations (TFR) are spectrogram (SPEC) and Gabor Transform (GT).…”

Section: IIImentioning

confidence: 99%

Harmonics Detection Using Prony Frequency Analysis Algorithm in Transformer Inrush Current Generation after Fault Clearance

Wylie¹,

Tiwari²

2014

International Journal of Innovative Research in Electrical, Ele

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Abstract:The traditional infrastructure of power system industry is presently going through large amount of change that consensus over the improvement of power quality for fulfilling this requirement electronically automated devices having high sensitivity toward the disturbance in the power system signals are under the major consensus of research activities. The low power quality signal is responsible for malfunctioning of equipments that result in reduction of production and rise in the cost of production. In the modern age electronic convertors, facts and other thyristor controlled devices is combine with the new power transmission schemes. That produces harmonics current of high frequency order and brings large amount of current and voltage quality distortion. In this paper we are investigating and implementing the Prony harmonics analysis algorithm for estimation of harmonics in the voltage cycle available during saturable core transformer energizing the result are validate and compared with the short time Fourier analysis our proposed approach found to be more accurate and aliquant for non linear discrete data signals.

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“…One section of this area includes the analysis dedicated to estimation of a single component with the greatest possible accuracy and short calculation time. This area of application includes some modifications of the Fourier analysis [8−9] and other methods [10], of which the Prony's methods gain greater and greater practical significance [11−16]. The Prony's methods are characterized by the properties of precise estimation of the parameters of an analysed signal.…”

Section: Introductionmentioning

confidence: 99%

Fast Second Order Original Prony’s Method for Embedded Measuring Systems

Zygarlicki

2017

Metrology and Measurement Systems

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The paper presents a method of adaptation of the original second order Prony's method for applications in lowcost digital measurement systems with low computing performance. The presented method can be used in measuring systems where it is important to obtain in real time the values of amplitude, frequency, initial phase and damping coefficient of a single sinusoidal component of an analysed signal. The paper presents optimized, in terms of the number of mathematical operations, implementation of the method in selected embedded devices as well as the calculation times of the method for each platform.

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Gabor Transform, SPWVD, Gabor-Wigner Transform and Wavelet Transform - Tools For Power Quality Monitoring

Cited by 68 publications

References 10 publications

Analysis of Power Quality Signals Using an Adaptive Time-Frequency Distribution

Analysis of Power Quality Signals Using an Adaptive Time-Frequency Distribution

Harmonics Detection Using Prony Frequency Analysis Algorithm in Transformer Inrush Current Generation after Fault Clearance

Fast Second Order Original Prony’s Method for Embedded Measuring Systems

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