Development of corrosion rates estimation method for CUI using information gain ratio

Shigeyuki Tateno*, Motoki Ichiyama, Kentaro Yahiro, Hisayoshi Matsuyama, Eiji O'Shima

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Almost all chemical and petrochemical plants in Japan have been operated for 30 years or more. Leakage accidents in piping often occur in such a kind of plants because of CUI (Corrosion Under Insulation) progress. In the worst case, inner fluid leakage might affect human bodies or the environment. Proper predictive maintenance work based of corrosion rate estimation should be performed to prevent the accidents. In the previous research, corrosion rates have been estimated based on databases constructed by cases of past corrosion. However, the method of previous research has some problems, such as the estimation accuracy is insufficient. In this research, a selection support system which can estimate corrosion rates with high accuracy using information gain ratio and reliability is developed.

Original languageEnglish
Title of host publicationICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems
Pages803-807
Number of pages5
Publication statusPublished - 2012 Dec 1
Event2012 12th International Conference on Control, Automation and Systems, ICCAS 2012 - Jeju, Korea, Republic of
Duration: 2012 Oct 172012 Oct 21

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833

Conference

Conference2012 12th International Conference on Control, Automation and Systems, ICCAS 2012
Country/TerritoryKorea, Republic of
CityJeju
Period12/10/1712/10/21

Keywords

  • corrosion rate
  • corrosion under insulation
  • information gain ratio
  • plant maintenance

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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