Track: Data Analytics
Abstract
Corrosion under insulation (CUI) is an increasingly important issue for piping in industries especially petrochemical and chemical plants 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, uncertain factors which 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 can be a guideline for inspection planning purpose and priority in the maintenance schedule.