<p>This paper presents a method for classification of transmission line faults based on Artificial Neural Network (ANN).Samples of prefault and postfault three phase currents taken at one end of transmission line are used as ANN inputs. Simulation studies have been carried out extensively on two power system models: one in which the transmission line is fed from one end and another, in which the transmission line is fed from two ends. Different types of faults at different operating conditions have been considered for carrying out simulation studies. The simulation results confirm the feasibility of the proposed approach.</p
Fault Detection on transmission lines forms an important part of monitoring the health of the power...
—— This paper discusses the application of ANN techniques for classification of all type of faults o...
This paper describes the development of a fast, efficient, artificial neural network (ANN) based fau...
Contemporary power systems are associated with serious issues of faults on high voltage transmission...
Abstract- Transmission lines, among the other electrical power system components, suffer from unexpe...
Power systems are susceptible to faults due to system failures or natural calamities. This could be ...
In power distribution technique it is essential to minimize transients, line voltage dips and spikes...
This paper addresses the problems encountered by conventional distance relays when protecting double...
This paper focuses on fault classification and detection in the transmission line, and these lines a...
Successful applications of neural networks in electrical power systems have demonstrated that this p...
The demand for electricity is ever increasing. To meet this ever increasing demand, six phase line c...
This thesis proposes a novel approach to the protection of series compensated transmission lines by ...
This paper presents a new approach to using artificial neural networks (ANNs) in improving the prote...
Abstract: The paper presents a new technique for the identification of defects in transmission lines...
The ability to identify the fault type and to locate the fault in extra high voltage transmission li...
Fault Detection on transmission lines forms an important part of monitoring the health of the power...
—— This paper discusses the application of ANN techniques for classification of all type of faults o...
This paper describes the development of a fast, efficient, artificial neural network (ANN) based fau...
Contemporary power systems are associated with serious issues of faults on high voltage transmission...
Abstract- Transmission lines, among the other electrical power system components, suffer from unexpe...
Power systems are susceptible to faults due to system failures or natural calamities. This could be ...
In power distribution technique it is essential to minimize transients, line voltage dips and spikes...
This paper addresses the problems encountered by conventional distance relays when protecting double...
This paper focuses on fault classification and detection in the transmission line, and these lines a...
Successful applications of neural networks in electrical power systems have demonstrated that this p...
The demand for electricity is ever increasing. To meet this ever increasing demand, six phase line c...
This thesis proposes a novel approach to the protection of series compensated transmission lines by ...
This paper presents a new approach to using artificial neural networks (ANNs) in improving the prote...
Abstract: The paper presents a new technique for the identification of defects in transmission lines...
The ability to identify the fault type and to locate the fault in extra high voltage transmission li...
Fault Detection on transmission lines forms an important part of monitoring the health of the power...
—— This paper discusses the application of ANN techniques for classification of all type of faults o...
This paper describes the development of a fast, efficient, artificial neural network (ANN) based fau...