In the present era, faults are the greatest interruption for the power system utility. Theses, faults on electrical power systems are unavoidable problems and will continue to happen. These faults are effects on the power system reliability and stability, hence, diagnosis and classification of such faults in rapid and accurate way is an important issue. In this paper, combination method of digital signal processing and multi-layer neural network has presented. The methodology has divided in two steps, firstly: wavelet transform has implemented in here for pre-processing the data, which is used to extract the useful information during the fault in both time and frequency domain, and calculate the features of coefficients which is used as inp...
Protection schemes are usually implemented in the planning of transmission line operations. These sc...
Power system is an interconnect system which is very complicate and leads to more problems which are...
Abstract: The present paper presents an accurate hybrid framework capable to rapidly detect, classif...
With increasing demands and competitive business environment, the structure of power system has beco...
Thesis Submitted in fulfilment of the requirements for the degree Master of Technology: Electrical E...
The protection of parallel transmission lines has been a challenging task due to mutual coupling bet...
Fault in transmission lines might risks and contributes to the biggest impacts on power system secur...
Occurrence of fault in transmission line can cause loss of power to consumer. When fault occur, it i...
Abstract: Problem statement: The identification of faults in any analog circuit is highly required t...
Recent years, there is an increased interest in fault classification algorithms. The reason, behind ...
Abstract — a transmission line has their own faults and they could be single phase, double phase and...
Transmission line protection is an important issue in power system because 85-87% of power system fa...
Due to the character of the original source materials and the nature of batch digitization, quality ...
In this study, a combined approach of discrete wavelet transform analysis and a feed forward neural ...
An appropriate fault detection and classification of power system transmission line using discrete w...
Protection schemes are usually implemented in the planning of transmission line operations. These sc...
Power system is an interconnect system which is very complicate and leads to more problems which are...
Abstract: The present paper presents an accurate hybrid framework capable to rapidly detect, classif...
With increasing demands and competitive business environment, the structure of power system has beco...
Thesis Submitted in fulfilment of the requirements for the degree Master of Technology: Electrical E...
The protection of parallel transmission lines has been a challenging task due to mutual coupling bet...
Fault in transmission lines might risks and contributes to the biggest impacts on power system secur...
Occurrence of fault in transmission line can cause loss of power to consumer. When fault occur, it i...
Abstract: Problem statement: The identification of faults in any analog circuit is highly required t...
Recent years, there is an increased interest in fault classification algorithms. The reason, behind ...
Abstract — a transmission line has their own faults and they could be single phase, double phase and...
Transmission line protection is an important issue in power system because 85-87% of power system fa...
Due to the character of the original source materials and the nature of batch digitization, quality ...
In this study, a combined approach of discrete wavelet transform analysis and a feed forward neural ...
An appropriate fault detection and classification of power system transmission line using discrete w...
Protection schemes are usually implemented in the planning of transmission line operations. These sc...
Power system is an interconnect system which is very complicate and leads to more problems which are...
Abstract: The present paper presents an accurate hybrid framework capable to rapidly detect, classif...