Convolutional adversarial neural network (CANN) for fault diagnosis within a power system: addressing the challenge of event correlation for diagnosis by power …
S Chan, I Oktavianti, V Puspita… - … on Information and …, 2019 - ieeexplore.ieee.org
Fault diagnostics have become a primary concern within the domain of power system
engineering, particularly for distribution utilities. Early and accurate fault diagnostics within a …
engineering, particularly for distribution utilities. Early and accurate fault diagnostics within a …
The Transmission line fault detection and identification using Artificial Neural Network
Among subsystems of power system, transmission system faces high rate of severe faults. If
these faults are not detected and eradicated quickly they can severely affect the continuity …
these faults are not detected and eradicated quickly they can severely affect the continuity …
[PDF][PDF] Adaptive Fault Locator for High-Voltage Transmission Lines Based on the Estimation of Power System Model Parameters
This paper presents an adaptive transmission line fault location method, which incorporates
fault location devices at both line ends and utilises data import from a supervisory control …
fault location devices at both line ends and utilises data import from a supervisory control …
A Review of Transmission line fault distance and direction estimation using various techniques
SA Hussein, TA Kuku - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
There is no system that is fault-free and creating one would not be practicable or cost-
effective. Contemporary power systems are associated with serious issues of faults on high …
effective. Contemporary power systems are associated with serious issues of faults on high …
[PDF][PDF] Application of Estimation of Model Parameters for Protective Automation of Transmission Lines
I Zālītis - 2020 - ebooks.rtu.lv
Transmission lines are highly exposed to fault risk factors of environmental and
anthropogenic nature. The fault statistics [1] confirm this as between 60% and 70% of faults …
anthropogenic nature. The fault statistics [1] confirm this as between 60% and 70% of faults …
A power transmission line fault locator based on the estimation of system model parameters
I Zalitis, A Dolgicers… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
This paper presents a method for fault location in transmission lines, which uses
measurements from one substation during pre-fault and fault regimes to estimate unknown …
measurements from one substation during pre-fault and fault regimes to estimate unknown …
The Estimate of Fault Location based on Transmission Tower Coordinates
This study was conducted to predict the fault location based on tower coordinates using the
Artificial Neural Network (ANN). The electrical power system modeled made use of an actual …
Artificial Neural Network (ANN). The electrical power system modeled made use of an actual …
A neural network classifier for fault correlation and root cause determination in an electronic warfare system
RH Moseley - AIAA Scitech 2019 Forum, 2019 - arc.aiaa.org
An offline Artificial Neural Network (ANN) classifier is developed for fault correlation and root
cause determination for an aircraft's Electronic Warfare (EW) system. Feature extraction is …
cause determination for an aircraft's Electronic Warfare (EW) system. Feature extraction is …
Ferramenta de suporte para autorrecuperação de rede de distribuição de energia elétrica utilizando redes neurais artificiais
FS Avelar - 2017 - bdtd.ibict.br
Uma ferramenta foi desenvolvida para auxiliar na autorrecuperação de rede de distribuição
de energia elétrica, com o auxílio de um software, para simular um sistema real. O sistema …
de energia elétrica, com o auxílio de um software, para simular um sistema real. O sistema …