Elektrik Elektronik Mühendisliği Bölümü Koleksiyonu
Recent Submissions
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A new control algorithm for increasing efficiency of PEM fuel cells – Based boost converter using PI controller with PSO method
(Elsevier Ltd, 2024)The single-stack fuel cell system is utilized extensively in several industries. Unfortunately, the main problems are its low efficiency and durability, and unsatisfied reliability, especially in the high-power situation. ... -
An atom search optimization approach for IIR system identification
(Taylor & Francis Inc, 2023)Filtering, or digital signal processing, is a significant and fundamental requirement in fields such as signal systems and computers. The process of designing optimal digital filters is difficult, which has led researchers ... -
An effective torque-based method for automatic turn fault detection and turn fault severity classification in permanent magnet synchronous motor
(Springer, 2023)This article presents a novel approach based on the electromechanical torque signal for the inter-turn short-circuit fault (ISCF) detection and the ISCF severity estimation in permanent magnet synchronous motors (PMSMs). ... -
Wireless power transmission on martian surface for zero-energy devices
(Institute of Electrical and Electronics Engineers Inc., 2022)Exploration of the Red Planet is essential on the way through both human colonization and establishing a habitat on the planet. Due to the high costs of space missions, the use of distributed sensor networks has been ... -
Optimization of Proportional–Integral (PI) and Fractional-Order Proportional–Integral (FOPI) parameters using Particle Swarm Optimization/Genetic Algorithm (PSO/GA) in a DC/DC converter for Improving the performance of proton-exchange membrane fuel cells
(Multidisciplinary Digital Publishing Institute (MDPI), 2024)In this article, the control of a DC/DC converter was carried out using the proposed methods of conventional PI, PSO-based PI, PSO-based FOPI, GA-based PI, and GA-based FOPI controllers in order to improve the performance ... -
Neuro-fuzzy approach on core resistance estimation at loss minimization control of permanent magnet synchronous motor
(Kauno Technologijos Universitetas, 2016)Iron losses are among the most significant losses occurring on the Permanent Magnet Synchronous Motor (PMSM). These losses consume active power and cause heat in the iron core. Due to this behavior, they can be represented ... -
Soil moisture estimation over vegetated agricultural areas: Tigris Basin, Turkey from Radarsat-2 data by polarimetric decomposition models and a generalized regression neural network
(MDPI, 2017)Determining the soil moisture in agricultural fields is a significant parameter to use irrigation systems efficiently. In contrast to standard soil moisture measurements, good results might be acquired in a shorter time ... -
Neural network approach on loss minimization control of a PMSM with core resistance estimation
(Turkiye Klinikleri Journal of Medical Sciences, 2017)Permanent magnet synchronous motors (PMSMs) are often used in industry for high-performance applications. Their key features are high power density, linear torque control capability, high efficiency, and fast dynamic ... -
Practical tuning algorithm of PDµ controller for processes with time delay
(Elsevier B.V., 2017)In this paper, a practical tuning algorithm of fractional order PD controller for processes with time delay using the weighted geometrical center (WGC) method is presented. This method is based on calculating of the ... -
Smith predictor with sliding mode control for processes with large dead times
(De Gruyter Open Ltd, 2017)The paper discusses the Smith Predictor scheme with Sliding Mode Controller (SP-SMC) for processes with large dead times. This technique gives improved load-disturbance rejection with optimum input control signal variations. ... -
A new approach based on electromechanical torque for detection of inter-turn fault in permanent magnet synchronous motor
(Taylor and Francis Ltd., 2022)Fault detection is an important issue for permanent magnet synchronous motors (PMSMs). In the initial stage, it is very crucial to detect stator winding inter-turn short-circuit failure, which is one of the most common ... -
Instruction of molecular structure similarity and scaffolds of drugs under investigation in ebola virus treatment by atom-pair and graph network: A combination of favipiravir and molnupiravir
(Elsevier Ltd, 2022)The virus that causes Ebola is fatal. Although many researchers have attempted to contain this deadly infection, the fatality rate remains high. The atom-pair fingerprint technique was used to compare drugs suggested for ... -
Maximum sensitivity (Ms)-based I-PD controller design for the control of integrating processes with time delay
(Taylor and Francis Ltd., 2023)Integrating processes, whose one or more poles are located at the origin, are common in the process industry. This paper focuses on maximum sensitivity (Ms)-based control of these types of processes. Integral–proportional ... -
Mobile robot application with hierarchical start position DQN
(Hindawi Limited, 2022)Advances in deep learning significantly affect reinforcement learning, which results in the emergence of Deep RL (DRL). DRL does not need a data set and has the potential beyond the performance of human experts, resulting ... -
Multiband RF energy harvesting for zero-energy devices
(Springer Science and Business Media Deutschland GmbH, 2023)Radio frequency (RF) energy harvesting system scavenges energy from electromagnetic waves and supplies power wirelessly enabling the usage of zero-energy sensors or devices. Frequency band of the electromagnetic wave is ... -
Towards environment-aware fall risk assessment: Classifying walking surface conditions using IMU-Based Gait Data and deep learning
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)Fall risk assessment (FRA) helps clinicians make decisions about the best preventative measures to lower the risk of falls by identifying the different risks that are specific to an individual. With the development of ... -
Optimal PI–PD controller design for pure integrating processes with time delay
(Springer, 2021)Though Proportional-Integral-Derivative (PID) controllers are commonly being used for process control applications, it has been proven that they may give unacceptable closed loop responses for open loop unstable processes ... -
Multi-task learning for arousal and sleep stage detection using fully convolutional networks
(IOP Publishing, 2023)Objective.Sleep is a critical physiological process that plays a vital role in maintaining physical and mental health. Accurate detection of arousals and sleep stages is essential for the diagnosis of sleep disorders, as ... -
Deep insights into MCI diagnosis: A comparative deep learning analysis of EEG time series
(Elsevier, Mart 2024)Background Individuals in the early stages of Alzheimer’s Disease (AD) are typically diagnosed with Mild Cognitive Impairment (MCI). MCI represents a transitional phase between normal cognitive function and AD. ... -
Complexity of EEG dynamics for early diagnosis of alzheimer's disease using permutation entropy neuromarker
(Elsevier, 2021)Background and objective Electroencephalogram (EEG) is one of the most demanded screening tools that investigates the effects of Alzheimer's Disease (AD) on human brain. Identification of AD in early stage gives rise to ...