Search
290 articles for “Current Transformer”
-
Development of Slip Power Recovery Scheme sing Buck-Boost Chopper for Performance enhancement of Wound Rotor IM Drive
Abstract: This paper presents the mathematical modeling and testing of wound rotor induction motor drive (WRIMD) to develop the slip power recovery scheme (SPRS) using buck-boost chopper control techniques improving the performance of drive. The main focus of this research work is on the understanding of methodological development of Simulink model of SPRS. Various mathematical equations describing performance characteristics of WRIMD using SPRS with buck-boost chopper are derived. The performance parameters …
Published in Journal of Power Electronics and Power Systems · Vol. 12, Issue 2, 2022 · pp. 44–63 Read article
-
AI and IoT for Precision Farming: Transforming Indian Agriculture
Abstract: Agriculture plays a crucial role in the global economy with the exponential rise in population. There is a parallel increase in the demand for food and employment exerting pressure on conventional farming methods. These traditional techniques are often inadequate in meeting current agricultural demands. Consequently, automation in agriculture has gained significant attention as an evolving field. The integration of artificial intelligence (AI) into agricultural processes has led to a transformative …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 7–15 Read article
-
Power Quality Improved AC-DC Sepic converter Used for Welding application
Abstract: Abstract— In this paper high frequency isolated ac-dc single phase single ended primary inductance converter (SEPIC) are proposed. Due to use of HF transformer more gain and high power is obtain. Proposed converter offers increased gain which is step-down in nature having less stress on current and also high efficiency. This paper described analysis modeling, and simulation of proposed converter. The performance is described in terms of power quality like …
Published in Recent Trends in Electronics Communication Systems · Vol. 6, Issue 1, 2019 · pp. 24–30 Read article
-
Power Factor Correction Using Parallel Boost Converter
Abstract: Power factor, the ratio between the active or average power and the apparent power forms a very essential parameter of the power system. It is indicative of how effectively the active power of the system has been utilized. With rapid development in power semiconductor devices, the usage of power electronic systems has expanded to a new and wide application range that include residential, commercial, aerospace and many others. Power electronic …
Published in Trends in Electrical Engineering · Vol. 5, Issue 3, 2015 · pp. 71–88 Read article
-
Livestock and Landscapes: Rethinking Carbon Sequestration Synergies for Transforming Livestock-Raising Paradigm
Abstract: The livestock sector plays a critical role in global agricultural systems, but its impact on climate change is a growing concern due to significant greenhouse gas emissions, particularly methane and nitrous oxide. As the demand for livestock products continues to rise, rethinking current practices becomes essential to mitigate environmental degradation and enhance sustainability. This study examines the synergies between livestock farming and carbon sequestration strategies within global landscapes, with a …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 3, 2025 · pp. 29–43 Read article
-
Optimizing Power Generation from Building Ventilation Systems: A Study on Exhaust Fan Efficiency
Abstract: Due to population growth, the world's energy consumption has increased dramatically in both wealthy and developing nations in recent years, and by 2042, it is predicted to have doubled or more. Since a few years ago, the use of innovative sustainable power sources to meet energy demands has been gradually increasing. We've chipped away at a different idea because of this. As an alternative energy source, renewable energy (RE) resources …
Published in International Journal of Electrical Power and Machine Systems · Vol. 1, Issue 2, 2023 · pp. 22–27 Read article
-
Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitates the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
-
Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitate the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Thermal Engineering and Applications · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
-
Acceptance of Islanding in Intelligent Grid
Abstract: At present, distributed generation has gained the high priority in the power industry. At present islanding perception is a big challenge with increased Distributed Generators (DG) in the electric utility sector. Local loads are provided by scattering generation in remote places when a portion of the decentralized network is electrically disconnected first from rest of the electricity network. This is referred to as the Islanding Condition. We used the time …
Published in Current Trends in Signal Processing · Vol. 12, Issue 1, 2022 · pp. 1–10 Read article
-
Control of a Three Phase Grid-Connected Photovoltaic System with Maximum Power Point Tracking
Abstract: The power output of a photovoltaic system is greatly dependent on environmental conditions such as solar irradiation and ambient temperature. Due to the nonlinear nature of these conditions, the power output of the PV system is nonlinear. As a result, interfacing its output to the electrical grid is not possible. In order to achieve a grid connected photovoltaic (PV) system, controlled maximum power point tracking techniques are needed to obtain …
Published in Journal of Power Electronics and Power Systems · Vol. 5, Issue 3, 2015 · pp. 52–64 Read article
-
Intelligent Failure Detection in Biomedical Composite Materials Using Machine Vision
Abstract: The biomedical composite materials are intelligent failure-detecting, which is necessary to ensure the reliability, safety, and durability of the current healthcare equipment. This paper describes a machine vision design, which incorporates convolutional neural networks, transformer models, and ensemble learning to correctly detect and localize material defects. The proposed system takes advantage of the capabilities of high-resolution imaging, advanced preprocessing software, and deep feature learning in the identification of the intricate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Power Quality Issues and Mitigation Strategies: A Review
Abstract: AbstractTo protect the power system recognition and arrangement of voltage (V) and current (I) issues are essential tasks. Most power quality (PQ) disturbances are unstable and ephemeral; the call for recognition and arrangement of voltages and current is proved. There are some intelligent system technologies which have dominance regarding fault analysis by using wavelet transform (WT), expert systems and artificial neural networks. As signals are classified in six classes: five …
Published in Current Trends in Signal Processing · Vol. 9, Issue 3, 2019 · pp. 23–27 Read article
-
The Future of Energy: How Smart Meters are Reshaping Consumption and Conservation
Abstract: By offering real-time data on electricity consumption, smart electric meters are revolutionizing energy management by empowering customers and utilities to make educated decisions about energy conservation and use. These meters are compatible with cutting-edge features including outage monitoring, demand response programs, and smooth integration of renewable energy sources. In addition to optimizing energy use and lowering costs, this also improves grid dependability and helps create a more sustainable energy future. …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 1, 2025 · pp. 8–13 Read article
-
Advancements in AI-Driven Diagnostics for Dental Health: A Comprehensive Review
Abstract: Dental diseases, also known as oral diseases or dental conditions, encompass a range of health problems affecting the teeth, gums, mouth, and associated structures. These conditions can lead to pain, discomfort, and severe complications if left untreated. Early detection and accurate diagnosis are crucial for effective treatment and prevention of further complications. This comprehensive literature review aims to identify common dental problems such as Tooth Decay (Cavities), Gingivitis, Periodontitis, and …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 1–7 Read article
-
Power Quality Enhancement in Distribution System using D-STATCOM
Abstract: New solutions based on power electronics have been developed to safeguard commercial and industrial clients against power quality issues on the electrical distribution system, referred to as Custom Power Products. Custom power devices are classified into three categories by their structures such as dynamic voltage regulator (DVR), distribution static compensator (STATCOM) and unified power quality compensator (UPQC).The Distribution Static Compensator (D-STATCOM), one of the custom power product, is a shunt-connected …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 2, 2021 · pp. 17–22 Read article
-
STUDY OF MULTIPLE MODULES SOLAR SYSTEM ELECTRICITY GENERATION
Abstract: Solar energy is a sustainable, non-depleting, and ecologically safe energy source that originates from sunlight. Every hour, the globe receives enough solar energy to meet its energy demands for a whole year. In the current world, we need power on a regular basis. This solar energy is used in commercial, residential, and industrial settings. It readily absorbs energy from direct sunlight. In this post, we looked at solar energy from …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 1, 2026 · pp. 25–32 Read article
-
A Review on STATCOM Controller for Power Quality Enhancement in Distributed System
Abstract: New technologies, using power Electronics-based concepts, have been Developed to provide protection for Commercial and industrial customers from Power quality problems on the electrical Distribution system known as Custom Power Products. Custom power devices are classified into three categories by their structures such as dynamic voltage regulator (DVR), distribution static compensator (STATCOM) and unified power quality compensator (UPQC).The Distribution Static Compensator (D-STATCOM), one of the custom power product, is a …
Published in Trends in Electrical Engineering · Vol. 11, Issue 2, 2021 · pp. 24–29 Read article
-
Advances in Deep Learning for Medical Image Analysis in the Era of Precision Medicine
Abstract: Medical imaging is fundamental to modern healthcare but analyzing the high-dimensional data requires advanced techniques. Manual image interpretation is time-consuming, subjective and limited in detecting complex patterns and minute details. Recent breakthroughs in Deep Learning offer transformative advances for unlocking clinically relevant information from medical images. This paper provides a comprehensive 6000+ word review of the current state-of-the-art Deep Learning techniques for medical image analysis including detailed coverage of key …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 10–23 Read article
-
Global Robotics Market Dynamics: Trends, Growth, and Future Projections Based on Machine Learning
Abstract: Robotics is advancing rapidly, fueled by technological innovations and a wide range of applications. In 2020, the global robotics market reached a valuation of $40 billion, with industrial robotics comprising $25 billion. Robots are increasingly being utilized in manufacturing, driving automation and enhancing efficiency. Countries like South Korea, Singapore, and Germany are leading in robot density, highlighting their role in enhancing productivity and competitiveness. The analysis presented in this paper …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 1, 2025 · pp. 01–08 Read article
-
Trends, Challenges, and the Future of Unmanned Aerial Systems
Abstract: The rapid evolution of unmanned aerial vehicles (UAVs), commonly referred to as drones, has transformed numerous domains — from military surveillance and logistics to precision agriculture and atmospheric research. This paper examines the current state of drone technology, industry trends, regulatory frameworks, socio-economic impacts, ethical considerations, and future research directions. With contributions from multidisciplinary studies, this review emphasizes emerging technologies, performance metrics, risk factors, and opportunities for innovation. In recent …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 27–33 Read article