A frequency domain technique for calculating arcing faults in transmission lines is applied to obtain relaying signals. There are analyzed the transient signals in order to discover distinctive features. The paper later center the attention on feature extractors to improve digital relays speed and pattern recognition with ANN. Non-conventional signal processing are explained for a based artificial neural network (ANN) relay for transmission line protection. © 2003 IEEE
This work presents the development and implementation of an artificial neural network based algorith...
With the development of modern power systems, higher requirements are imposed on relay protection te...
Recent developments indicate that Artificial Neural Networks (ANNs) may be appropriate for assisting...
Traditional electromechanical distance relays used for protection of transmission lines are prone to...
That the artificial neural network (ANN) can perform the pattern classification in excellent fashion...
Contemporary power systems are associated with serious issues of faults on high voltage transmission...
Power systems are susceptible to faults due to system failures or natural calamities. This could be ...
This thesis deals with the design of an Artificial Neural Network (ANN) based relay for transmission...
<p>This paper presents a method for classification of transmission line faults based on Artificial N...
This Paper Presents the modelling and identification of faults of a 400KV high voltage AC transmissi...
This paper addresses the problems encountered by conventional distance relays when protecting double...
This paper presents an articial neural network- (ANN) based approach to improve the performance of t...
Abstract- Transmission lines, among the other electrical power system components, suffer from unexpe...
This thesis proposes a novel approach to the protection of series compensated transmission lines by ...
This work presents the development and implementation of an artificial neural network based algorith...
This work presents the development and implementation of an artificial neural network based algorith...
With the development of modern power systems, higher requirements are imposed on relay protection te...
Recent developments indicate that Artificial Neural Networks (ANNs) may be appropriate for assisting...
Traditional electromechanical distance relays used for protection of transmission lines are prone to...
That the artificial neural network (ANN) can perform the pattern classification in excellent fashion...
Contemporary power systems are associated with serious issues of faults on high voltage transmission...
Power systems are susceptible to faults due to system failures or natural calamities. This could be ...
This thesis deals with the design of an Artificial Neural Network (ANN) based relay for transmission...
<p>This paper presents a method for classification of transmission line faults based on Artificial N...
This Paper Presents the modelling and identification of faults of a 400KV high voltage AC transmissi...
This paper addresses the problems encountered by conventional distance relays when protecting double...
This paper presents an articial neural network- (ANN) based approach to improve the performance of t...
Abstract- Transmission lines, among the other electrical power system components, suffer from unexpe...
This thesis proposes a novel approach to the protection of series compensated transmission lines by ...
This work presents the development and implementation of an artificial neural network based algorith...
This work presents the development and implementation of an artificial neural network based algorith...
With the development of modern power systems, higher requirements are imposed on relay protection te...
Recent developments indicate that Artificial Neural Networks (ANNs) may be appropriate for assisting...