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Öğe Analysis of stator inter-turn short-circuit fault signatures for inverter-fed permanent magnet synchronous motors(IEEE Computer Society, 2016) Çira F.; Arkan M.; Gümüş B.; Goktas T.It is quite important to detect stator short-circuit fault, which is the most common fault type, at incipient stage. It is possible to carry out fault detection using Motor Current Signature Analysis (MCSA) method. In this study, stator current and voltage space vectors of PMSMs were analyzed with MCSA under various load torque, speed and fault percentages conditions. The Negative & positive harmonics were obtained by applying Fast Fourier Transform (FFT) to space vectors of stator current and voltage. It is suggested that by using the obtained fault signatures, stator inter-turn fault estimation can be achieved accurately. The results of comprehensive analysis carried out under various load torque and speed conditions show that characteristics fault signatures are both present in the current and the voltage space vectors spectra. © 2016 IEEE.Öğe Detection of stator winding inter-turn short circuit faults in permanent magnet synchronous motors and automatic classification of fault severity via a pattern recognition system(Korean Institute of Electrical Engineers, 2016) Cira F.; Arkan M.; Gumus B.In this study, automatic detection of stator winding inter-turn short circuit fault (SWISCFs) in surface-mounted permanent magnet synchronous motors (SPMSMs) and automatic classification of fault severity via a pattern recognition system (PRS) are presented. In the case of a stator short circuit fault, performance losses become an important issue for SPMSMs. To detect stator winding short circuit faults automatically and to estimate the severity of the fault, an artificial neural network (ANN)-based PRS was used. It was found that the amplitude of the third harmonic of the current was the most distinctive characteristic for detecting the short circuit fault ratio of the SPMSM. To validate the proposed method, both simulation results and experimental results are presented. © The Korean Institute of Electrical Engineers.Öğe Diagnosis of broken rotor fault in inverter-fed im by using analytical signal angular fluctuation(Institute of Electrical and Electronics Engineers Inc., 2014) Goktas T.; Arkan M.The aim of this paper is to detect broken rotor bar fault at the presence of low frequency load torque oscillation in inverter-fed induction motors. The low frequency load torque oscillation in induction motor may sometimes have the same effect as broken rotor bar fault on the stator current. Especially, when load torque oscillation frequency is close to twice the slip frequency, additional processing need to be done to separate these two effects from each other. To discern these two effects, Analytical Signal Angular Fluctuation (ASAF) spectrum is used. Experimental results are presented for separating broken rotor bar fault from low frequency load torque oscillation. © 2014 IEEE.Öğe Discernment of Static Eccentricity and Electrical Load Unbalance Currents through Space Vector Stray Flux in Permanent Magnet Synchronous Generator based Wind Turbines(Institute of Electrical and Electronics Engineers Inc., 2023) Aladag I.; Goktas T.; Arkan M.The usage of permanent magnet synchronous generators (PMSGs) in wind turbines are getting increase due to their high efficacy and power densities. However, the electrical and mechanical asymmetries such as eccentricity and electrical load unbalanced currents can affect the dynamic operation condition in PMSGs. This paper proposes to detect and discriminate electrical load unbalance current faults and static eccentricity through space vector stray flux in surface mounted PMSGs based wind turbines. The 2D-finite element results shows that it is not possible to discern the static eccentricity and load unbalance current fault since both faults exhibits same pattern in current and stray flux spectra in PMSGs. The harmonic at +5fs in positive sequence stray flux can be used to discriminate static eccentricity and electrical load unbalance faults in PMSGs. The proposed method yields more precise and certain results compared to classical phase current and single point stray flux analysis. © 2023 IEEE.Öğe FFT based fault location algorithm for transmission lines(2011) Mamiş M.S.; Arkan M.To maintain continuity of electrical energy, fast clearance of a fault is needed, which requires accurate determination of the fault location on transmission lines. This paper proposes a method for fault location, which is based on time to frequency domain transformation of measured data after fault by using Fast Fourier Transform (FFT). The frequency of the first harmonic is utilized for determination of the fault location using travelling wave theory. The results show that the accuracy of the method is not affected by the fault resistance and phase angle of fault instant. © 2011 Chamber of Turkish Electric.Öğe Investigation of negative sequence components for stator shorted turn detection in induction motors(2010) Bakhri S.; Ertugrul N.; Soong W.L.; Arkan M.Online diagnostics is preferred specifically in critical induction machines for timely analysis of their health and to predict any incipient failures. For early fault detection, the negative sequence current component can offer a fast and reliable monitoring technique. However, the negative sequence component method contains inherent non-idealities (such as inherent machine asymmetries) and is sensitive to external effects (such as load change and supply voltage imbalances). This paper addresses these limitations while considering real system disturbances and non-linearities using a dynamic motor model which is also verified by the experimental studies. The effectiveness of the negative sequence component analysis as well as the behavior of the model under load change and voltage unbalance was discussed. The negative sequence components due to stator faults and the interaction with voltage and load variation were also presented in the paper.Öğe IoT based Multi-Environmental Sensing System: Monitoring of Rotor Fault in Induction Motors(Institute of Electrical and Electronics Engineers Inc., 2023) Goktas T.; Er R.; Altunel F.; Arkan M.This paper presents an IoT based multi-environmental sensing system in order to monitor the rotor bar fault in induction motors. For this purpose, an upgraded prototype all-in one smart sensor including vibration, flux and acoustic measures is built up and tested under rotor bar fault. The developed smart sensor has online and remote monitoring capabilities through IoT technology. The experimental results under different torque profiles shows that the rotor bar fault can be diagnosed and monitored accurately by utilizing IoT based multi-environmental sensing system which use the three-axes vibration, stray flux and acoustic data in induction motors. © 2023 IEEE.Öğe A new method to separate broken rotor failures and low frequency load oscillations in three-phase induction motor(IEEE Computer Society, 2013) Göktaş T.; Arkan M.; Özguven O.F.For a time-varying loads, the presence of load fluctuation may sometimes have the same effect as broken rotor failure in a stator current of induction motors. In recent years, many methods, which are used to distinguish these two effects, have been published. In this study, a new method, which is based on Analytical Signal Angular Fluctuation (ASAF) signal, is developed to separate effects of load oscillation from broken rotor bar, especially when load oscillation is close to twice slip frequency. The simulation results are presented for the proposed method to show that, discerning broken rotor bar faults from low frequency load oscillation is possible. The developed method is independent of motor parameters. © 2013 IEEE.Öğe Reliable Detection of Broken Bar Fault through Negative Sequence of Stray Flux in Induction Motors(Institute of Electrical and Electronics Engineers Inc., 2023) Goktas T.; Arkan M.As well-known, the broken bar fault affects the harmonic content of the stator current and airgap & stray flux. This paper proposes to detect broken bar fault through negative sequence stray flux spectrum in induction motors (IMs). For this purpose, three stray flux data which have 120o relative phase differences are collected from the vicinity of IMs. Then, stray flux space vector is calculated and analyzed at low frequency range when the motor is operated as both healthy and broken bar cases. It is shown that there are some effective signals such as -((fs-fr)±2sfs) to detect broken bar fault in negative sequence stray flux spectrum while only sidebands of fundamental signatures rise up in positive sequence stray flux spectrum. Comparative 2D finite-element simulations results including current space vector prove that the negative sequence stray flux spectrum can yields more effective results than classical stator current and stray flux analysis in induction motors. © 2023 IEEE.Öğe Separation of induction motor rotor faults and low frequency load oscillations through the radial leakage flux(Institute of Electrical and Electronics Engineers Inc., 2017) Goktas T.; Arkan M.; Salih Mamis M.; Akin B.This paper presents a separation method to discern broken rotor bar fault from low frequency load torque oscillation thorough radial leakage flux spectrums in induction motors (IMs). Broken rotor bar fault can usually be detected using classical motor current based analysis (MCSA), but it may not provide reliable results since its performance depend on motor topology, stator winding and load type. Particularly, if a motor is subjected to load fluctuation, then oscillation related signatures exhibit similar behavior that of broken bar which leads misleading signatures. In this paper, radial leakage flux spectrum is exhaustively analyzed thorough a fluxgate sensor to discern these two effects in IMs. It is shown that there are some additional characteristics broken bar signatures such as 3sfs and (fs-fr)A±2sfs in radial leakage flux which do not appear in low frequency load torque oscillation case. A 2-Dimensional (2D) finite element analysis and experiments are carried to show that using leakage flux can provide a separation method and more reliable results than classical MCSA in IMs. © 2017 IEEE.
