[PDF][PDF] Fault detection and classification on a transmission line using wavelet multi resolution analysis and neural network
Transmission and distribution lines are vital links between generating units and consumers.
They are exposed to atmosphere, hence chances of occurrence of fault in transmission line …
They are exposed to atmosphere, hence chances of occurrence of fault in transmission line …
Selection of proper input pattern in fuzzy logic algorithm for classifying the fault type in underground distribution system
J Klomjit, A Ngaopitakkul - 2016 IEEE Region 10 Conference …, 2016 - ieeexplore.ieee.org
This paper present the proper input pattern of fuzzy logic algorithm for fault type
classification in underground cable. The proposed algorithm using combination of discrete …
classification in underground cable. The proposed algorithm using combination of discrete …
A novel approach for fault diagnosis of multilevel inverter using dwt and fuzzy logic algorithm
SM Alapati, V Singh - 2021 2nd International Conference on …, 2021 - ieeexplore.ieee.org
With the advent of rapid development in technology, use of multilevel inverter (MLI)
increased drastically as it has many advantages compared to normal inverters. But, with …
increased drastically as it has many advantages compared to normal inverters. But, with …
[PDF][PDF] Identification of fault types for underground cable using discrete wavelet transform
C Apisit, A Ngaopitakkul - Lecture Notes in Engineering and Computer …, 2010 - Citeseer
In this paper, a technique for identifying the phase with fault appearance in underground
cable is presented. The Wavelet transform has been employed to extract high frequency …
cable is presented. The Wavelet transform has been employed to extract high frequency …
[PDF][PDF] Discrete wavelet transform and back-propagation neural networks algorithm for fault classification in underground cable
S Kaitwanidvilai, C Pothisarn, C Jettanasen… - World Congress on …, 2010 - Citeseer
This paper proposes a new technique using discrete wavelet transform (DWT) and back-
propagation neural network (BPNN) for fault classifications on underground cable …
propagation neural network (BPNN) for fault classifications on underground cable …
Fault analysis in transmission lines using neural network and wavelets
Transmission lines can be viewed as link between generating stations and the consumers.
They are the major part of the power system hence they play a vital role in its operation …
They are the major part of the power system hence they play a vital role in its operation …
Fault detection, identification and localization in medium-voltage networks using fuzzy-logic
Secondary substations are usually equipped with short-circuit detectors only indicating that
an over-current has occurred for a given line. In case of a fault, further information about type …
an over-current has occurred for a given line. In case of a fault, further information about type …
An Application of Discrete Wavelet Transform and Support Vector Machines Algorithm for Classification of Fault Types on Underground Cable
A Ngaopitakkul, C Pothisarn… - … on Innovations in …, 2012 - ieeexplore.ieee.org
This paper proposes a new technique using discrete wavelet transform (DWT) and support
vector machines (SVM) to classify the fault types in underground distribution systems. The …
vector machines (SVM) to classify the fault types in underground distribution systems. The …
[PDF][PDF] Transient energy and its impact on transmission line faults
Transmission and distribution lines are vital links between the generating unit and
consumers. They are exposed to atmosphere, hence chances of occurrence of fault in …
consumers. They are exposed to atmosphere, hence chances of occurrence of fault in …
[PDF][PDF] Review on fault detection, identification and localization in electrical networks using fuzzy-logic
V Mor, A Vaghamshi - Int. J. Appl. Res. Sci. Eng, 2016 - ijarse.org
A methodology is presented to detect highimpedance faults in radial distribution feeders by
means of fuzzy logic reasoning. The proposed technique is based on the analysis of the …
means of fuzzy logic reasoning. The proposed technique is based on the analysis of the …