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[PDF] Top 20 Artificial Neural Network Based Method for Location and Classification of Faults on a Transmission Lines

Has 10000 "Artificial Neural Network Based Method for Location and Classification of Faults on a Transmission Lines" found on our website. Below are the top 20 most common "Artificial Neural Network Based Method for Location and Classification of Faults on a Transmission Lines".

Artificial Neural Network Based Method for Location and Classification of Faults on a Transmission Lines

Artificial Neural Network Based Method for Location and Classification of Faults on a Transmission Lines

... generation, transmission and distribution of electric energy. Transmission lines are used to transmit electric power to distant large load ...of lines in operation and their total length. ... See full document

6

Protection and Controlling of Transmission Lines by using Machine Learning Techinique

Protection and Controlling of Transmission Lines by using Machine Learning Techinique

... generation, transmission, distribution and lading systems. Faults like tangency condition lands up in severe economic losses & reduces responsibility of the electrical ...These faults cause ... See full document

7

Fault diagnosis for transmission lines using chromatic processing

Fault diagnosis for transmission lines using chromatic processing

... popular artificial intelligence method that was adopted successfully in many fields ...logic based system, the purpose is to assign a degree of membership for this condition to one or more members of ... See full document

244

Fault Classification, Distance Location and Faulty Section Identification in Teed Transmission Circuits using Artificial Neural Network

Fault Classification, Distance Location and Faulty Section Identification in Teed Transmission Circuits using Artificial Neural Network

... recognition, classification and generalization. ANN-based techniques show a great enhancement in the accuracy of fault classification and location in comparison with the conventional ... See full document

8

Artificial Neural Network Based Fault Location Estimation of Double Circuit Transmission Line

Artificial Neural Network Based Fault Location Estimation of Double Circuit Transmission Line

... the artificial intelligent methods for fault classification, faulted-phase selection and fault distance location ...of neural network for faulty phase selection and distance ... See full document

8

Single Phase to Ground Fault Location on 415v Distribution Lines using Artificial Neural Network Algorithm

Single Phase to Ground Fault Location on 415v Distribution Lines using Artificial Neural Network Algorithm

... its transmission, and delivering the energy to the end user where the distribution feeders are the latter entities of this energy ...and transmission parts in the electrical power system if not ... See full document

15

A SVM Based Condition Monitoring of Transmission Line Insulators Using PMU for Smart Grid Environment

A SVM Based Condition Monitoring of Transmission Line Insulators Using PMU for Smart Grid Environment

... arc faults for the smart grid environment based on phasor angle measurements is presented in this study and the real time phase angle data are collected using Phasor Measurement Units ...arcing ... See full document

14

A Prediction Method for Galloping of Transmission Lines Based on Improved Neural Network

A Prediction Method for Galloping of Transmission Lines Based on Improved Neural Network

... The transmission lines galloping is one of the common electric faults in power ...The transmission lines network is spread all over the country, the location and climate ... See full document

8

Classification of Stuck at Faults in Synchronous Sequential Circuits Using Artificial Neural Network

Classification of Stuck at Faults in Synchronous Sequential Circuits Using Artificial Neural Network

... an artificial neural networks (ANNs) based procedure for classifying the stuck at faults (SAF) in the primary output of the synchronous sequential ...models based on back propagation ... See full document

8

Transmission lines fault detection using 
		Discrete Wavelet Transform and artificial neural network algorithm

Transmission lines fault detection using Discrete Wavelet Transform and artificial neural network algorithm

... three-phase transmission line, which is primarily based upon the discrete wavelet transformation (DFT) and back propagation neural network ...propagation neural network ... See full document

8

Artificial Neural Network based Protection Scheme for One Conductor Open Faults in Six Phase Transmission Line

Artificial Neural Network based Protection Scheme for One Conductor Open Faults in Six Phase Transmission Line

... Transmission lines are essential links to transfer power from generating station to load ...order transmission lines in 1972 ...order transmission is considered as potential alternative ... See full document

5

A Literature Survey on Artificial Neural Network for Fault Detection of HVDC Transmission

A Literature Survey on Artificial Neural Network for Fault Detection of HVDC Transmission

... The method using wavelet transforms for detecting a HVDC Transmission line faults is proposed after simu lating the HVDC system for various ...of faults and provides a good basis for the new ... See full document

6

Transmission Line Fault Detection using BFONN

Transmission Line Fault Detection using BFONN

... a transmission line system has been designed in MATLAB simulink using simpower ...of faults are applied on transmission line at various distances from sending ...for transmission line and ... See full document

8

Asymmetrical Fault Recognition System on Electric Power Lines Using Artificial Neural Network

Asymmetrical Fault Recognition System on Electric Power Lines Using Artificial Neural Network

... II. ARTIFICIAL NEURAL NETWORK Artificial Neural Network (ANN) is inspired by the way biological neurons ...other artificial intelligence in fault recognition is that ... See full document

6

A Survey Paper on Detection and Classification of Leaf Diseases in Plants

A Survey Paper on Detection and Classification of Leaf Diseases in Plants

... India is an agriculture country where 70% of people are depends on the agriculture. When diseases are affecting the plants, they are mostly seen on leaves, stems in plants. The farmer has to identify the disease and ... See full document

5

ARTIFICIAL NEURAL NETWORK BASED TOLERANCE ANALYSIS METHOD

ARTIFICIAL NEURAL NETWORK BASED TOLERANCE ANALYSIS METHOD

... A new framework with the objective of overcoming the deficiencies is the objective of the work. As far discussed Simulation is one of the most used yet a deficient step made in tolerance analysis. Artificial ... See full document

12

Blind Navigation System using Artificial Intelligence

Blind Navigation System using Artificial Intelligence

... This project contains three main parts, a raspberry pi 3 (powered by android things), camera and artificial intelligence. When the person presses the button on device, the camera module starts to take a pictures ... See full document

5

Radio location of partial discharge sources : a support vector regression approach

Radio location of partial discharge sources : a support vector regression approach

... as location fingerprints rather than absolute ...median location error and represent practical alternatives for PD source ...whereas neural networks are susceptible to converging to local ... See full document

9

Artificial Neural Network and Location Coordinates based Security in Credit Cards

Artificial Neural Network and Location Coordinates based Security in Credit Cards

... using artificial intelligence applications and location coordinate comparing ...modes based fraud detection, which will identify and avoids ... See full document

7

ADAPTIVE COLOR FILTER ARRAY INTERPOLATION ALGORITHM BASED ON HUE TRANSITION AND 
EDGE DIRECTION

ADAPTIVE COLOR FILTER ARRAY INTERPOLATION ALGORITHM BASED ON HUE TRANSITION AND EDGE DIRECTION

... GA based approach, the significant predictors with the corresponding equality/inequality and threshold values are decided simultaneously, so as to generate the decision rules ...assistance based a computer ... See full document

7

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