Browsing by Author "Gokozan, H"

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    A neural network based approach to estimate of power system harmonics for an induction furnace under the different load conditions
    Gokozan, H; Taskin, S; Seker, S; Ekiz, H
    This study presents an artificial neural network based intelligent monitoring algorithm to detect of a power system harmonics. The proposed approach was tested on the current and voltage data of an induction furnace power system, which was collected by using a LabVIEW based measurement system under different load conditions. The collected data was analyzed with MATLAB program using the short-time Fourier transform and power spectral density estimation methods to find the dominant harmonics of the power system. After determination of the operational region in terms of the harmonic levels under the full-load condition, the power spectral density algorithm was used for determining the stationary intervals of the power system data. Identified harmonic frequencies were used to train the artificial neural network algorithm, which was then tested for harmonic estimation at different load conditions. Hence, the neural network topology was used as a artificial follower. Results demonstrate that harmonic state estimation of a power system can be achieved by an error variation at the output of the auto-associative neural network.
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    Determination of the Spectral Properties and Harmonic Levels for Driving an Induction Motor by an Inverter Driver under the Different Load Conditions
    Taskin, S; Gokozan, H
    S. Taskin, H. Gokozan. Determination of the Spectral Properties and Harmonic Levels for Driving an Induction Motor by an Inverter Driver under the Different Load Conditions // Electronics and Electrical Engineering. - Kaunas: Technologija, 2011. - No. 2(108). P. 75-80. This paper analyses the electrical power quality for the induction motor of 75 kW using the spectral analysis methods. Measurements are carried out by collecting the current and voltage variations in a ceramic factory. Spectral analyzing techniques are applied to the collected data to get the spectral properties. Hence, induction motor operation regions are categorized under three zones. These are no-load condition; transient case from no-load to load and full-load, respectively. Consequently, the variations of the harmonics are compared with each other under these different operation conditions and then the most important characteristics of the harmonics are determined. In this manner, dominant harmonics are obtained as 5(th), 7(th), 11(th), 13(th) and 17(th) harmonics as well as fundamental frequency at 50 Hz. Ill. 9, bibl. 18, tabl. 1 (in English; abstracts in English and Lithuanian).
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    Comparison of electrical energy consumption for different material processing procedures
    Gokozan, H; Tastan, M; Taskin, S; Cavdar, PS; Cavdar, U
    The aim of this study is to investigate the electrical energy consumption for different material processing methods. In these experiments, ferrous powder metals, bulk iron and bulk graphite materials are used. These different materials are heated, sintered and welded by using processes of ultra-high frequency induction heating (UHFIH), ultra-high frequency induction heating sintering (UHFIHS) and ultra-high frequency induction heating welding (UHFIHW), respectively. For all experiments, 2.8 kW, 900 kHz ultra-high frequency induction heating system is used. The experiments are conducted by LabVIEW (TM) based measurement and control system. Finally, all data are analyzed to show the energy efficiency of each process.