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Prediction for corrosion under insulation subject to carbon steel pipes using ANFIS

Failures due to corrosion under insulation (CUI) are one of the most common external corrosion failures in petroleum and power industry. A small and inadequate amount of CUI corrosion rate data is available from literature and original plants. American Petroleum Institute (API) in its version API 58...

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Main Authors: Khan, M.M., Mokhtar, A., Hussin, H.
Format: Article
Published: Asian Research Publishing Network 2016
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85000642909&partnerID=40&md5=b15f15c6e1c0ff7b1db07b04178f76be
http://eprints.utp.edu.my/25414/
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spelling my.utp.eprints.254142021-08-27T13:00:24Z Prediction for corrosion under insulation subject to carbon steel pipes using ANFIS Khan, M.M. Mokhtar, A. Hussin, H. Failures due to corrosion under insulation (CUI) are one of the most common external corrosion failures in petroleum and power industry. A small and inadequate amount of CUI corrosion rate data is available from literature and original plants. American Petroleum Institute (API) in its version API 581 has also given confined data for CUI which limits the use of the data for quantitative risk based inspection (RBI) analysis for both stainless steels and carbon steels. The aim of this paper is to construct and then checking the accuracy of an adaptive neuro fuzzy inference system (ANFIS) model along with predicting CUI corrosion rate of carbon steel based on, API data. The simulation shows that the model effectively predict the corrosion rates against the CUI corrosion rates given by API 581 with a mean absolute deviation ( MAD ) of 0.0006. The model is also giving CUI corrosion rates where API 581 is showing no value for it. The results from this model would provide the inspection engineers a satisfactory amount of CUI corrosion rate data which will be good enough for the quantitative approach of RBI. © 2006-2016 Asian Research Publishing Network (ARPN). Asian Research Publishing Network 2016 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85000642909&partnerID=40&md5=b15f15c6e1c0ff7b1db07b04178f76be Khan, M.M. and Mokhtar, A. and Hussin, H. (2016) Prediction for corrosion under insulation subject to carbon steel pipes using ANFIS. ARPN Journal of Engineering and Applied Sciences, 11 (1). pp. 268-276. http://eprints.utp.edu.my/25414/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Failures due to corrosion under insulation (CUI) are one of the most common external corrosion failures in petroleum and power industry. A small and inadequate amount of CUI corrosion rate data is available from literature and original plants. American Petroleum Institute (API) in its version API 581 has also given confined data for CUI which limits the use of the data for quantitative risk based inspection (RBI) analysis for both stainless steels and carbon steels. The aim of this paper is to construct and then checking the accuracy of an adaptive neuro fuzzy inference system (ANFIS) model along with predicting CUI corrosion rate of carbon steel based on, API data. The simulation shows that the model effectively predict the corrosion rates against the CUI corrosion rates given by API 581 with a mean absolute deviation ( MAD ) of 0.0006. The model is also giving CUI corrosion rates where API 581 is showing no value for it. The results from this model would provide the inspection engineers a satisfactory amount of CUI corrosion rate data which will be good enough for the quantitative approach of RBI. © 2006-2016 Asian Research Publishing Network (ARPN).
format Article
author Khan, M.M.
Mokhtar, A.
Hussin, H.
spellingShingle Khan, M.M.
Mokhtar, A.
Hussin, H.
Prediction for corrosion under insulation subject to carbon steel pipes using ANFIS
author_facet Khan, M.M.
Mokhtar, A.
Hussin, H.
author_sort Khan, M.M.
title Prediction for corrosion under insulation subject to carbon steel pipes using ANFIS
title_short Prediction for corrosion under insulation subject to carbon steel pipes using ANFIS
title_full Prediction for corrosion under insulation subject to carbon steel pipes using ANFIS
title_fullStr Prediction for corrosion under insulation subject to carbon steel pipes using ANFIS
title_full_unstemmed Prediction for corrosion under insulation subject to carbon steel pipes using ANFIS
title_sort prediction for corrosion under insulation subject to carbon steel pipes using anfis
publisher Asian Research Publishing Network
publishDate 2016
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85000642909&partnerID=40&md5=b15f15c6e1c0ff7b1db07b04178f76be
http://eprints.utp.edu.my/25414/
_version_ 1738656726703407104
score 13.211869

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