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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Bibliographic Details
Main Authors: Ahmad, Ahmad S. (Author), Ahmad, Hussein (Author), Salam, Md. Abdus (Author), Saad, Ahmad (Author)
Format: Article
Language:English
Published: 2000-10-15.
Subjects:
Online Access:Get fulltext
LEADER 01333 am a22001693u 4500
001 1963
042 |a dc 
100 1 0 |a Ahmad, Ahmad S.  |e author 
700 1 0 |a Ahmad, Hussein  |e author 
700 1 0 |a Salam, Md. Abdus  |e author 
700 1 0 |a Saad, Ahmad  |e author 
245 0 0 |a Regression technique for prediction of salt contamination severity on high voltage insulators 
260 |c 2000-10-15. 
856 |z Get fulltext  |u http://eprints.utm.my/id/eprint/1963/1/HusseinAhmad2000_RegressionTechniqueForPredictionOf.pdf 
520 |a 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). 
546 |a en 
650 0 4 |a TK Electrical engineering. Electronics Nuclear engineering