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TEMPERATURE VARIATION IN APPLICATION OF ARTIFICIAL NEURAL NETWORK FOR PREDICTION OF CORROSION RATE UNDER INSULATION

BURHANI, NURUL RAWAIDA AIN (2018) TEMPERATURE VARIATION IN APPLICATION OF ARTIFICIAL NEURAL NETWORK FOR PREDICTION OF CORROSION RATE UNDER INSULATION. PhD thesis, Universiti Teknologi PETRONAS.

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Abstract

Corrosion under insulation (CUI) in pipes is increasingly becoming an important issue in the industry due to the prevalence of unexpected explosion and incidents as the result of undetectable CUI due to its hidden nature. As for these reasons, continuous CUI monitoring is indispensable to ensure that the CUI rate occurrence can be measured and be used for inspection.

Item Type: Thesis (PhD)
Academic Subject : Academic Department - Mechanical Engineering - Petroleum
Subject: T Technology > TJ Mechanical engineering and machinery
Divisions: Engineering > Mechanical
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 28 Jan 2019 15:40
Last Modified: 28 Jan 2019 15:40
URI: http://utpedia.utp.edu.my/id/eprint/18403

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