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Estimation of the probability of failure for Corrosion Under Insulation using Logistic Regression Model

Corrosion under insulation (CUI) is a severe form of localized corrosion that has been plaguing chemical process industries. It occurs without giving any sign and undetected beneath the insulation until failure occurs. The most common inspection planning to address CUI problem is based on API 581....

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Main Author: Nooratikah binti Saari @ Awang, Nooratikah
Format: Final Year Project
Language:English
Published: Universiti Teknologi Petronas 2010
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://utpedia.utp.edu.my/1303/1/FYP_report_nooratikah_saari_8679.pdf
http://utpedia.utp.edu.my/1303/
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spelling my-utp-utpedia.13032017-01-25T09:43:38Z http://utpedia.utp.edu.my/1303/ Estimation of the probability of failure for Corrosion Under Insulation using Logistic Regression Model Nooratikah binti Saari @ Awang, Nooratikah TJ Mechanical engineering and machinery Corrosion under insulation (CUI) is a severe form of localized corrosion that has been plaguing chemical process industries. It occurs without giving any sign and undetected beneath the insulation until failure occurs. The most common inspection planning to address CUI problem is based on API 581. However, the current API 581 methodology relies on subjective inputs which lead to inaccurate determination of probability of failure (POF). Therefore, the aim of this research is to develop more quantitative method to determine POF by using logistic regression model. Universiti Teknologi Petronas 2010 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/1303/1/FYP_report_nooratikah_saari_8679.pdf Nooratikah binti Saari @ Awang, Nooratikah (2010) Estimation of the probability of failure for Corrosion Under Insulation using Logistic Regression Model. Universiti Teknologi Petronas. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Nooratikah binti Saari @ Awang, Nooratikah
Estimation of the probability of failure for Corrosion Under Insulation using Logistic Regression Model
description Corrosion under insulation (CUI) is a severe form of localized corrosion that has been plaguing chemical process industries. It occurs without giving any sign and undetected beneath the insulation until failure occurs. The most common inspection planning to address CUI problem is based on API 581. However, the current API 581 methodology relies on subjective inputs which lead to inaccurate determination of probability of failure (POF). Therefore, the aim of this research is to develop more quantitative method to determine POF by using logistic regression model.
format Final Year Project
author Nooratikah binti Saari @ Awang, Nooratikah
author_facet Nooratikah binti Saari @ Awang, Nooratikah
author_sort Nooratikah binti Saari @ Awang, Nooratikah
title Estimation of the probability of failure for Corrosion Under Insulation using Logistic Regression Model
title_short Estimation of the probability of failure for Corrosion Under Insulation using Logistic Regression Model
title_full Estimation of the probability of failure for Corrosion Under Insulation using Logistic Regression Model
title_fullStr Estimation of the probability of failure for Corrosion Under Insulation using Logistic Regression Model
title_full_unstemmed Estimation of the probability of failure for Corrosion Under Insulation using Logistic Regression Model
title_sort estimation of the probability of failure for corrosion under insulation using logistic regression model
publisher Universiti Teknologi Petronas
publishDate 2010
url http://utpedia.utp.edu.my/1303/1/FYP_report_nooratikah_saari_8679.pdf
http://utpedia.utp.edu.my/1303/
_version_ 1739830760154595328
score 13.160551

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