Browsing Electrical Engineering (EE) by Title
Now showing items 194-213 of 432
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Integrated CM Filter for Single-Phase and Three-Phase PWM Rectifiers
(2018-08-11)The use of insulated-gate bipolar transistor (IGBT)-based power converters is increasing exponentially. This is due to high performance of these devices in terms of efficiency and switching speed. However, due to the ... -
Integrated Common And Differential Mode Filters With Active Damping For Active Front End Motor Drives
(2014-07-30)IGBT based power converters acts as front end in the present day Adjustable Speed Drive (ASD). This offers many advantages and makes regenerative action possible. PWM rectifier operation produces electrically noisy DC bus ... -
Intelligent Systems Applications For Improving Power Systems Security
(2011-01-25)Electric power systems are among the most complex man made systems on the world. Most of the time, they operate under quasi-steady state. With the ever increasing load demand and the advent of the deregulated power market ... -
Intelligent techniques for fault location in distribution systems using artificial neural networks
Power Distribution System forms a vital part of any Electric Power System. It acts as a final power delivery stage to the consumers. Hence, its study is important for the development of an efficient and reliable Power ... -
Intelligent Techniques for Monitoring of Integrated Power Systems
(2018-02-10)Continued increase in system load leading to a reduction in operating margins, as well as the tendency to move towards a deregulated grid with renewable energy sources has increased the vulnerability of the grid to blackouts. ... -
Interpolation of Digital Elevation Models using Generative Adversarial Networks
A digital elevation model (DEM) is a three-dimensional representation of elevation data of a terrain such as a terrestrial terrain acquired by a reconnaissance aircraft or a lunar terrain acquired using a Chandrayaan rover. ... -
Investigating Neural Mechanisms of Word Learning and Speech Perception
Language learning and speech perception are remarkable feats performed by the human brain, involving complex neural mechanisms that allow us to understand and communicate with one another. Unravelling the mysteries of these ... -
Investigation on architectural elements of network processors
Increasing network speeds have placed enormous burden on the processing requirements, and the processors are expected to carry out a variety of tasks. Network Processors (NP) is the blanket name given to the processors ... -
Investigation on Direct Lightning Strike to High Voltage Transmission Lines
Lightning continues to be the single largest natural cause of line outages. With high voltage lines spanning millions of kilometres around the globe, it has been a serious concern to transmission line engineers. Quite ... -
Investigations On Lightning Surge Response Of Isolated Down Conductors
(2008-11-04)Lightning is a natural phenomenon involving transient high current discharge in the atmosphere. Cloud-to-ground lightning, wherein the discharge occurs between the cloud and the ground is quite hazardous to systems on the ... -
Investigations on Pulse Width Modulation Techniques for Split-Phase Induction Motor Drives
A split-phase induction motor (SPIM) has two sets of identical three-phase windings. These two sets of windings are separated by 30◦ in space, which are, typically fed by a three-phase voltage source inverter (VSI) each. ... -
Investigations on the Corona Degradation of Polymeric Insulating Samples
Insulators play an important role in the reliability and safe operation of EHV/UHV transmission lines. Recently several utilities in the country and elsewhere are using polymeric insulators for the high voltage transmission ... -
Kernel-Based Image Filtering: Fast Algorithms and Applications
Image filtering is a fundamental preprocessing task in computer vision and image processing. Various linear and nonlinear filters are routinely used for enhancement, upsampling, sharpening, reconstruction, etc. The focus ... -
Knowledge-driven training of deep models for better reconstruction and recognition
This thesis aims to efficiently solve many interesting and challenging problems by incorporating appropriate image processing techniques in a deep learning framework. We have proposed, implemented and tested efficient ...