Research Article
Adaptive Risk Analysis and Management (ARAM) for the Lightning Strike on Power Station Systems based on Machine Learning Modeling
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 125 - Issue 11 |
| Published: September 2015 |
| Authors: Muhammad A. Sulaiman, Ja'afar Zangina Sulaiman |
10.5120/ijca2015906145
|
Muhammad A. Sulaiman, Ja'afar Zangina Sulaiman . Adaptive Risk Analysis and Management (ARAM) for the Lightning Strike on Power Station Systems based on Machine Learning Modeling. International Journal of Computer Applications. 125, 11 (September 2015), 41-48. DOI=10.5120/ijca2015906145
@article{ 10.5120/ijca2015906145,
author = { Muhammad A. Sulaiman,Ja'afar Zangina Sulaiman },
title = { Adaptive Risk Analysis and Management (ARAM) for the Lightning Strike on Power Station Systems based on Machine Learning Modeling },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 125 },
number = { 11 },
pages = { 41-48 },
doi = { 10.5120/ijca2015906145 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Muhammad A. Sulaiman
%A Ja'afar Zangina Sulaiman
%T Adaptive Risk Analysis and Management (ARAM) for the Lightning Strike on Power Station Systems based on Machine Learning Modeling%T
%J International Journal of Computer Applications
%V 125
%N 11
%P 41-48
%R 10.5120/ijca2015906145
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The effects of lightning strike to transmission and distribution systems are numerous and unfavorable. Just imagine the cost and havoc if a giant telecommunications company is shut down for an hour or day as a result of devices damage or a petrochemical plant catches fires due to lightning strike. Hence the needs to protect power apparatus from overvoltage surge are imperative. In this study an adaptive risk analysis & management (ARAM) based on artificial neural networks is proposed to analyze and proactively control the overvoltage at power substation due to lightning strike.
References
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