Yazar "Şeker, Serhat" için Makale Koleksiyonu listeleme
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A Neuro Detector Based on the Cybernetic Concepts for Fault Detection in Electric Motors
In this study, an auto-associative neural network (AANN) is designed as a fault detector using the cybernetic concepts. In this sense, an artificial neural network structure is connected with a finite state system or a ... -
Coherence analysis between hydrogen flow and electricity current in fuel cells
Akıncı, Tahir Çetin; Dursun, Erkan; Şeker, Serhat; Kılıç, Osman (Sila Science, 2012)In this study the spectral properties of the hydrogen flow and electricity current data which are collected from a fuel cell system are extracted. The electricity current of the fuel cell system is in the DC character ... -
Continuous wavelet transform for ferroresonance phenomena in electric power systems
Akıncı, Tahir Çetin; Ekren, Nazmi; Şeker, Serhat; Yıldırım, Sezen (Elsevier Sci Ltd, 2013)The common characteristics of a nonlinear system are multiple equilibrium points, limit cycles, jump resonance and sub-harmonic generation. Ferroresonance is also a nonlinear electrical phenomenon, which occurs frequently ... -
The defect detection in ceramic materials based on wavelet analysis by using the method of impulse noise
Akgün, Ömer; Akıncı, Tahir Çetin; Noğay, Hıdır Selçuk; Şeker, Serhat (Jve Int Ltd, 2013)In this experimental study, it was achieved to detect internal or surface cracks that can occur in the production of ceramic plates by using the method of impulse noise. This method is a test technique which was not used ... -
Fault detection of washing machine with discrete wavelet methods
Akıncı, Tahir Çetin; Karabeyoğlu, Sencer Süreyya; Yılmaz, Özgür; Şeker, Serhat (Kaunas Univ Technol, 2014)In the last decade, a new mathematical method has allowed scientists and engineers to view the details of time varying and transient phenomena that are not possible through conventional tools. This invention, called wavelet ... -
A neuro-detector based on the cybernetic concepts for fault detection in electric motors
Şeker, Serhat; Onal, Emel; Kaynas, Tayfun; Akıncı, Tahir Çetin (Jve Int Ltd, 2011)In this study, an auto-associative neural network (AANN) is designed as a fault detector using the cybernetic concepts. In this sense, an artificial neural network structure is connected with a finite state system or a ... -
Reverse Power Data Analysis and Feature Extraction Based Upon Continuous Wavelet Transform for Electric Power Plants
This study is focused on the investigating of a power plant generator in reverse power condition. For this purpose, reverse power data were collected from a Combined Heat and Power Plant generator protection relay. The ... -
Spectral Analysis for Current and Temperature Measurements in Power Cables
This research aims to detect spectral properties under thermal and current variations for power cables. Therefore, spectral diversities are exposed under current unbalances and different load conditions through the ... -
Spectral and statistical analysis for ferroresonance phenomenon in electric power systems
Şeker, Serhat; Akıncı, Tahir Çetin; Taşkın, Sezai (Springer, 2012)This study presents our findings on the ferroresonance phenomenon for the Seyitomer-Isiklar part of the Electric Power System of 380 kV in Turkey. In this context, the power spectral density approach and Short-Time Fourier ...