Add to ORKGIn this paper an investigation of the wavelet transform as a means of creating a feature extractor for Artificial Neural Network (ANN) training is presented. The study includes a teresstrial-based 3 phase delta power distribution system. Faults were injected into the system and data was obtained from experimentation. Graphical representations of the feature extractors obtained in the time domain, the frequency domain and the wavelet domain are presented to ascertain the superiority of the wavelet ``reform feature extractor
Abstract--This paper presents a wavelet based technique for detection and classification of abnormal...
This thesis aims at detecting and classifying the power system transmission line faults. To deal wit...
The disturbances of power systems are nonperiodic, nonstationary, short duration and impulse super-i...
With increasing demands and competitive business environment, the structure of power system has beco...
This paper develops a hybrid fault detection and diagnosis method using Discrete Wavelet Transform (...
Recent years, there is an increased interest in fault classification algorithms. The reason, behind ...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Abstract: Problem statement: The identification of faults in any analog circuit is highly required t...
Power system is an interconnect system which is very complicate and leads to more problems which are...
Abstract: power system is an interconnect system which is very complicate and leads to more problems...
Transmission line protection is an important issue in power system because 85-87% of power system fa...
A hybrid system to automatically detect, locate and classify disturbances affecting power quality in...
An appropriate fault detection and classification of power system transmission line using discrete w...
The protection of parallel transmission lines has been a challenging task due to mutual coupling bet...
As the importance of protection in power systems increase, knowing the type of malfunction occurring...
Abstract--This paper presents a wavelet based technique for detection and classification of abnormal...
This thesis aims at detecting and classifying the power system transmission line faults. To deal wit...
The disturbances of power systems are nonperiodic, nonstationary, short duration and impulse super-i...
With increasing demands and competitive business environment, the structure of power system has beco...
This paper develops a hybrid fault detection and diagnosis method using Discrete Wavelet Transform (...
Recent years, there is an increased interest in fault classification algorithms. The reason, behind ...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Abstract: Problem statement: The identification of faults in any analog circuit is highly required t...
Power system is an interconnect system which is very complicate and leads to more problems which are...
Abstract: power system is an interconnect system which is very complicate and leads to more problems...
Transmission line protection is an important issue in power system because 85-87% of power system fa...
A hybrid system to automatically detect, locate and classify disturbances affecting power quality in...
An appropriate fault detection and classification of power system transmission line using discrete w...
The protection of parallel transmission lines has been a challenging task due to mutual coupling bet...
As the importance of protection in power systems increase, knowing the type of malfunction occurring...
Abstract--This paper presents a wavelet based technique for detection and classification of abnormal...
This thesis aims at detecting and classifying the power system transmission line faults. To deal wit...
The disturbances of power systems are nonperiodic, nonstationary, short duration and impulse super-i...