Regression technique for prediction of salt contamination severity on high voltage insulators

On the east-coast of the Malaysia Peninsular, high voltage insulators of power plants and factories suffer from rapid salt contamination accumulation because of heavy wind coming from the South China Sea. One attempt has been made at one of these plants which is located about 500 meters from the sea...

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Main Authors: Ahmad, Ahmad S., Ahmad, Hussein, Salam, Md. Abdus, Saad, Ahmad
Format: Article
Language:English
Published: 2000
Subjects:
Online Access:http://eprints.utm.my/1963/1/HusseinAhmad2000_RegressionTechniqueForPredictionOf.pdf
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author Ahmad, Ahmad S.
Ahmad, Hussein
Salam, Md. Abdus
Saad, Ahmad
author_facet Ahmad, Ahmad S.
Ahmad, Hussein
Salam, Md. Abdus
Saad, Ahmad
author_sort Ahmad, Ahmad S.
collection ePrints
description On the east-coast of the Malaysia Peninsular, high voltage insulators of power plants and factories suffer from rapid salt contamination accumulation because of heavy wind coming from the South China Sea. One attempt has been made at one of these plants which is located about 500 meters from the seashore to determine the severity of this kind of contamination and subsequently to determine a suitable mitigation method to overcome this problem. This work describes a mathematical model, which could help to determine the contamination level. It has been proven that the contamination severity predictive model is possible by using a regression technique and it is a useful method for determining the Equivalent Salt Deposit Density (ESDD).
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spelling utm.eprints-19632012-05-03T07:25:24Z http://eprints.utm.my/1963/ Regression technique for prediction of salt contamination severity on high voltage insulators Ahmad, Ahmad S. Ahmad, Hussein Salam, Md. Abdus Saad, Ahmad TK Electrical engineering. Electronics Nuclear engineering On the east-coast of the Malaysia Peninsular, high voltage insulators of power plants and factories suffer from rapid salt contamination accumulation because of heavy wind coming from the South China Sea. One attempt has been made at one of these plants which is located about 500 meters from the seashore to determine the severity of this kind of contamination and subsequently to determine a suitable mitigation method to overcome this problem. This work describes a mathematical model, which could help to determine the contamination level. It has been proven that the contamination severity predictive model is possible by using a regression technique and it is a useful method for determining the Equivalent Salt Deposit Density (ESDD). 2000-10-15 Article PeerReviewed application/pdf en http://eprints.utm.my/1963/1/HusseinAhmad2000_RegressionTechniqueForPredictionOf.pdf Ahmad, Ahmad S. and Ahmad, Hussein and Salam, Md. Abdus and Saad, Ahmad (2000) Regression technique for prediction of salt contamination severity on high voltage insulators. 2000 Conference on Electrical Insulation and Dielectric Phenomena, 1 . pp. 218-221.
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ahmad, Ahmad S.
Ahmad, Hussein
Salam, Md. Abdus
Saad, Ahmad
Regression technique for prediction of salt contamination severity on high voltage insulators
title Regression technique for prediction of salt contamination severity on high voltage insulators
title_full Regression technique for prediction of salt contamination severity on high voltage insulators
title_fullStr Regression technique for prediction of salt contamination severity on high voltage insulators
title_full_unstemmed Regression technique for prediction of salt contamination severity on high voltage insulators
title_short Regression technique for prediction of salt contamination severity on high voltage insulators
title_sort regression technique for prediction of salt contamination severity on high voltage insulators
topic TK Electrical engineering. Electronics Nuclear engineering
url http://eprints.utm.my/1963/1/HusseinAhmad2000_RegressionTechniqueForPredictionOf.pdf
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