Yazar "Yalcin T." için listeleme
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Classification of the NTEV signal problem via the incorporation of s-transform features and different types of neural network
Yusoh M.A.T.M.; Yalcin T.; Abidin A.F.; Yasin Z.M.; Dahlan N.Y.; Mohammad H.; Rahimullah B.N.S. (Universiti Teknikal Malaysia Melaka, 2018)Classification of power quality (PQ) disturbance on the commercial building is one of the most important parts in monitoring, identifying and mitigating of PQ disturbance to avoid misunderstanding the behavior of events. ... -
Computational intelligence methods for identifying voltage sag in smart grid
Yalcin T.; Ozdemir M. (ASTES Publishers, 2017)In recent years pattern recognition of power quality (PQ) disturbances in smart grids has developed into crucial topic for system equipments and end-users. Undoubtedly analyzing the PQ disturbances develop and maintain ... -
Detection of blackouts by using K-means clustering in a power system
Ozgonenel O.; Thomas D.W.P.; Yalcin T.; Bertizlioglu I.N. (2012)This paper presents a novel approach for the detection of abnormal power system states that force systems into blackout. K-means clustering techniques and two types of distances for identifying pattern clusters are used ... -
Feature vector extraction by using empirical mode decomposition for power quality disturbances
Yalcin T.; Ozgonenel O.; Kurt U. (2011)This work presents a relatively new method known as empirical mode decomposition (EMD) for power quality disturbances. In a comprehensive and wider range of approaches and engineering activities, there is a increasing ... -
Feature vector extraction by using empirical mode decomposition from power quality disturbances
Yalcin T.; Ozgonenel O. (2012)Power quality assumes that voltages/currents are in rated frequency and values from transmission to distribution and their shape is pure sinusoid and except these comments the distributed electrical energy is assumed as ... -
Multi-class power quality disturbances classification by using ensemble empirical mode decomposition based SVM
Yalcin T.; Ozgonenel O.; Kurt U. (2011)This paper presents performance comparisons of Support Vector Machine (SVM) and different classification method for power quality disturbance classification. The first goal of this study is to investigate EEMD (ensemble ... -
A novel identification of high neutral to earth voltage (NTEV) faults on power distribution systems
Yusoh M.A.T.M.; Abidin A.F.; Yasin Z.M.; Yalcin T. (Praise Worthy Prize S.r.l, 2018)High Neutral to Earth Voltage (NTEV) could lead to various problems ranging from the frequent tripping, electronic card burning, neutral overheating, and electromagnetic interference. In order to solve the corresponding ... -
Principal Component Analysis (PCA) based neural network for motor protection
Ozgonenel O.; Yalcin T. (2010)In this work, a real time digital protection algorithm based on PCA and neural network methods is presented for induction motors. The proposed protection algorithm covers internal winding faults, broken rotor bar faults, ... -
Superiority of decision tree classifier on complicated cases for power system protection
Ozgonenel O.; Thomas D.W.P.; Yalcin T. (2012)Diagnosis of power system faults requires identification and classification of voltage disturbances in power systems and smart grids. The objective of this approach is to develop state of art signal classification algorithms ...
