Wavelet Based Reference Current Calculation Method for Active Compensation Systems

Gökmen, Gökhan

doi:10.5755/j01.eee.108.2.146

Cited by 8 publications

(14 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…DWPT is a signal analysis method that was developed as an alternative to discrete Fourier transform and is used in many fields of study today [16][17][18]. DWPT is the separation of the sampled signal into less sampled components like the branches of a tree.…”

Section: Discrete Wavelet Packet Transformmentioning

confidence: 99%

Determining damages in ceramic plates by using discrete wavelet packet transform and support vector machine

Yumurtacı

Gökmen

Akıncı

2020

IJECE

View full text Add to dashboard Cite

In this study, an analysis was conducted by using discrete wavelet packet transform (DWPT) and support vector machine (SVM) methods to determine undamaged and cracked plates. The pendulum was used to land equal impacts on plates in this experimental study. Sounds, which emerge from plates as a result of the impacts applied to undamaged and cracked plates, are sound signals used in the analysis and DWPT of these sound signals were obtained with 128 decompositions for feature extraction. The first four components, reflecting the characteristics of undamaged and cracked plates within these 128 components, were selected for enhancing the performance of the classifier and energy values were used as feature vectors. In the study, the SVM model was created by selecting appropriate C and γ parameters for the classifier. Undamaged and cracked plates were seen to be successfully identified by an analysis of the training and testing phases. Undamaged and cracked statuses of the plates that are undamaged and have the analysis had identified different cracks. The biggest advantage of this analysis method used is that it is high-precision, is relatively low in cost regarding experimental equipment and requires hardware.

show abstract

Section: Discrete Wavelet Packet Transformmentioning

confidence: 99%

Determining damages in ceramic plates by using discrete wavelet packet transform and support vector machine

Yumurtacı

Gökmen

Akıncı

2020

IJECE

View full text Add to dashboard Cite

show abstract

“…For this purpose, the numbers of data of all voltages are converted to 6400 samples [13]. db20 was used as the main wavelet, and the number of coefficients and frequency ranges of the obtained wavelet components are given in Table 1 [7,9,18]. As seen in Table 1, the frequency range of Figures 8-11 represent the fundamental component, while the residuals represent the sum of the voltages that cause harmonic distortion.…”

Section: Data Acquisition Systemmentioning

confidence: 99%

“…and it contained the fundamental component frequency. By removing the other seven components, the filtered voltages were obtained(Figure 7-11)[7,9,18].…”

mentioning

confidence: 99%

Harmonic Analysis of Electrospindle System with Wavelet Packet Transform

Kıyak

2018

Balkan Journal of Electrical and Computer Engineering

View full text Add to dashboard Cite

The electrospindle systems have been used in the maritime industry, they have recently become operative in automation systems. Along with the widespread use of harmonic generating machines and semiconductor based circuits in power and control systems, known reactive power compensation methods have been replaced by the use of filterbased compensation systems that consider harmonic distortion. This study used a voltage signal generated by an electrospindle generator with high harmonic distortion to obtain the amplitude time variation of the fundamental component by using Discrete Wavelet Packet Transform (DWPT). As a result of the analysis, it was observed that this method gives fast and accurate results that can be also used in real-time applications.

show abstract

“…Four-level WPT is applied to obtain the bandwidth that is closest to the fundamental frequency of 50 Hz. db20, which belongs to the Daubechies wavelet family, is preferred as the mother wavelet [22,23]. The frequency bandwidths of 16 components obtained for each phase are given in Table 1.…”

Section: Wavelet Packet Transformmentioning

confidence: 99%

Classification of short-circuit faults in high-voltage energy transmission line using energy of instantaneous active power components-based common vector approach

Yumurtacı¹,

Gökmen²,

Kocaman³

et al. 2016

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

The majority of power system faults occur in transmission lines. The classification of these faults in power systems is an important issue. In this paper, the real parameters of a 28 km, 154 kV transmission line between Simav and Demirci in Turkey's electricity transmission network is simulated in MATLAB/Simulink. Wavelet packet transform (WPT) is applied to instantaneous voltage signals. Instantaneous active power components are obtained by multiplying instantaneous currents obtained from a voltage source side with these WPT-based voltage signal components. A new feature vector extraction scheme is employed by calculating the energies of instantaneous active power components.Constructed feature vectors are treated with a classifier for short-circuit faults that occurred in high-voltage energy transmission lines; this is known as the common vector approach (CVA). This is the first implementation of CVA in the classification of short-circuit faults that occurred in high-voltage energy transmission lines. Furthermore, the same feature vector is applied to a support vector machine and artificial neural network for a comparison with the CVA method regarding classification performance and testing duration issues. Additionally, a graphical user interface is designed in MATLAB/GUI. Various noise levels, source frequencies, fault distances, fault inception angles, and fault exposure durations can be investigated with this interface. Classification of short-circuit faults in high-voltage transmission line is achieved by using an offline monitoring methodology. It is concluded that a combination of the proposed feature extraction scheme with the CVA classifier gives substantially high performance for the classification of short circuit faults in transmission line.

show abstract

Wavelet Based Reference Current Calculation Method for Active Compensation Systems

Cited by 8 publications

References 8 publications

Determining damages in ceramic plates by using discrete wavelet packet transform and support vector machine

Determining damages in ceramic plates by using discrete wavelet packet transform and support vector machine

Harmonic Analysis of Electrospindle System with Wavelet Packet Transform

Classification of short-circuit faults in high-voltage energy transmission line using energy of instantaneous active power components-based common vector approach

Contact Info

Product

Resources

About