Implementation of 5-level Flying Capacitor Multi Level Inverter
Abstract: This research work is for comparison of two different topologies of multi-level inverters (Diode clamped inverter and Flying capacitor clamped inverter). The multilevel inverter considered here is the 5-level inverter. This comparison is done with respect to Total Harmonic Distortion (THD) only, i.e. the voltage and current harmonic contents both kind of topologies will be compared. For each inverter, IGBTs or MOSFETs can be used as switching devices to make the comparisons more accurate. The switches that are used for different inverters are the same for all of the inverters. Each inverter is controlled by the multi-carrier sinusoidal pulse width modulation (SPWM). The comparative results of the harmonic analysis have been obtained in MATLAB/SIMULINK

Authors: Yamini Joshi, Manoj Gupta

File Name: Yamini_62000-17-107.pdf
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Detection and Classification of Transmission Lines Faults using FFT and K-Nearest Neighbour Classifier
Abstract: This paper presents a strategy for identifying the fault and its classification, in an electrical power distribution system. The strategy is based on a very simple technique, known as the k nearest neighbours (KNN), which simply estimates a distance between the characteristics that describe the data to be classified. When a new datum is presented to the proposed algorithm, it is classified with the same type of the example that is determined to be the closest one. For the creation of the mathematical model it is essential to have a database. The database consists of input data and output data, the input data are the detail coefficients obtained from the decomposition of the current and voltage signals using the Fourier Transform. Meanwhile, the output data are the labels assigned and with which the model can identify and classify the different types of faults. Both current signals and voltage signals are generated based on an extensive simulation of faults along the longest transmission line that has a test system

Authors: Nilesh S.Wani, Dr. R. P. Singh

File Name: Nilesh_68000-18-102.pdf
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Analysis of Co-Authorship Network of Scientists Working on Topic of Network Theory

Authors: Manu Kohli, Saurabh Jain

File Name: Manu_51100-17-102.pdf
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