AbstractIn this paper, time domain relaying schemes for complete protection of parallel transmission lines using wavelet and artificial neural network (ANN) are presented. Four different ANN networks are designed for detection of the fault, fault section identification, classification of fault and location of fault in time domain. The 3rd level approximate discrete wavelet transform (DWT) coefficients of signals of one end are used as input to ANN network. Proposed method is tested with varying fault location, inception angle, fault type and fault resistance. The test results show that the fault is detected and located within 5ms time accurately. This scheme offers primary protection as well as backup protection to the lines
This thesis deals with the design of an Artificial Neural Network (ANN) based relay for transmission...
Occurrence of fault in transmission line can cause loss of power to consumer. When fault occur, it i...
Abstract: The present paper presents an accurate hybrid framework capable to rapidly detect, classif...
AbstractIn this paper, time domain relaying schemes for complete protection of parallel transmission...
In this paper, time domain relaying schemes for complete protection of parallel transmission lines u...
The two most important expected objectives of the transmission line protection are – 1) Differentiat...
The protection of parallel transmission lines has been a challenging task due to mutual coupling bet...
AbstractThis paper proposes fault detection and classification scheme for transmission line protecti...
Abstract — a transmission line has their own faults and they could be single phase, double phase and...
AbstractParallel transmission lines are difficult to protect due to mutual coupling between circuits...
This paper proposes a comprehensive novel multi-terminal HVDC protection scheme based on artificial ...
This dissertation studied new transmission line fault diagnosis approaches using new technologies an...
Protection schemes are usually implemented in the planning of transmission line operations. These sc...
Abstract- This paper presents a wavelet transform (WT) and artificial neural network (ANN) based alg...
This paper proposed a new algorithm for fault location and classification using wavelet based on Cla...
This thesis deals with the design of an Artificial Neural Network (ANN) based relay for transmission...
Occurrence of fault in transmission line can cause loss of power to consumer. When fault occur, it i...
Abstract: The present paper presents an accurate hybrid framework capable to rapidly detect, classif...
AbstractIn this paper, time domain relaying schemes for complete protection of parallel transmission...
In this paper, time domain relaying schemes for complete protection of parallel transmission lines u...
The two most important expected objectives of the transmission line protection are – 1) Differentiat...
The protection of parallel transmission lines has been a challenging task due to mutual coupling bet...
AbstractThis paper proposes fault detection and classification scheme for transmission line protecti...
Abstract — a transmission line has their own faults and they could be single phase, double phase and...
AbstractParallel transmission lines are difficult to protect due to mutual coupling between circuits...
This paper proposes a comprehensive novel multi-terminal HVDC protection scheme based on artificial ...
This dissertation studied new transmission line fault diagnosis approaches using new technologies an...
Protection schemes are usually implemented in the planning of transmission line operations. These sc...
Abstract- This paper presents a wavelet transform (WT) and artificial neural network (ANN) based alg...
This paper proposed a new algorithm for fault location and classification using wavelet based on Cla...
This thesis deals with the design of an Artificial Neural Network (ANN) based relay for transmission...
Occurrence of fault in transmission line can cause loss of power to consumer. When fault occur, it i...
Abstract: The present paper presents an accurate hybrid framework capable to rapidly detect, classif...