FAULT ANALYSIS ON TRANSMISSION LINES USING ARTIFICIAL NEURAL NETWORK
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 0, Vol 5, Issue 2
Abstract
The transmission line among the other electrical power technique component suffers from unexpected failure due to various random causes. The transmission line is quite large as it is open in the environment. The fault occurs on transmission line when two or more conductors come in contact with each other or ground. This paper presents a proposed model based on MATLAB/SIMULINK software to detect the fault on transmission line. The output of the system is used to train an artificial neural network to detect the transmission line faults. The fault detection has been achieved by using artificial neural network.
Authors and Affiliations
Jayati Holkar
AUTOMATIC IRRIGATION SYSTEM USING A WIRELESS SENSOR NETWORK AND GPRS MODULE
Automatic irrigation system was used to reduce water usage in the agricultural system. The automatic irrigation system has consists of wireless sensor unit and wireless information unit and webpages. Wireless sens...
Unipolar and Bipolar SPWM Voltage Modulation Type inverter for Improved Switching Frequencies
This paper attempts an in-depth analysis of switching loss, waveform quality and voltage linearity characteristics of the modern PWM methods. SPWM or sinusoidal pulse width modulation is widely used in power elec...
TEXT-DEPENDENT SPEAKER RECOGNITION SYSTEM IN NOISY ENVIRONMENT USING MFCC
This paper is about text-dependent speaker recognition system in noisy environment.The goal of this paper is to recognize the speaker using noisy environment or to identify the speaker using noised speech signal....
EMPIRICAL MODE DECOMPOSITION: A METHOD FOR ANALYZING NONSTATIONARY SIGNALS
This paper described the non-linear Technique called Empirical Mode Decomposition (EMD), a method to analyze non-stationary signal and representing them as a mono component called Intrinsic mode Function (IMF)...
THE EFFECT OF FLOOD CAUSED BY CLIMATE CHANGE TO POROUS ASPHALT PAVEMENT
The test Indirect Tensile Strength for asphalt quality 3%, 4%, 5% are 0.0673, 0.325, 0.2370 ubsequently. Cantabro test, loss weight for asphalt quality 3%, 4%, 5% are 77.10, 14.56, 9.70 subsequently. Coefficient ve...