relation: https://khub.utp.edu.my/scholars/7346/
title: Application of logistic regression in resolving influential risk factors subject to corrosion under insulation
creator: Burhani, N.R.A.
creator: Muhammad, M.
creator: Mokhtar, A.A.
creator: Ismail, M.C.
description: Corrosion under insulation (CUI) is an increasingly important issue for piping especially for oil and gas industries due to its unexpected catastrophic disaster and automatic impact on the environmental problem. To ensure this CUI problem did not spark sudden surprise in plants, ambiguous factors that contribute to the deterioration of CUI should be recognized and taken care seriously. Thus, this research will unearth the most influential factors for the CUI deterioration using logistic regression model. Results show most influential factors are insulation type followed by availability of elbow in pipe design, other than service temperature. This finding can be a guideline for inspection planning purpose and priority in the maintenance schedule. © IEOM Society International. © IEOM Society International.
publisher: IEOM Society
date: 2016
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Burhani, N.R.A. and Muhammad, M. and Mokhtar, A.A. and Ismail, M.C.  (2016) Application of logistic regression in resolving influential risk factors subject to corrosion under insulation.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85018386419&partnerID=40&md5=3890bf7520849a655682d3e814eef5b2