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Corrosion and Risk Modelling Analytics

The CARMA (Corrosion and Risk Modelling Analytics) project aims to provide improved corrosion prediction capability by using Machine Learning techniques. For the selected system, the initial CARMA model is trained by using a combination of online process monitoring data as the input, combined with online corrosion monitoring data as the output. Once trained and validated, the resulting model can then be used to predict corrosion rates in similar systems or in other parts of the same system, without the need to install corrosion monitoring devices or carry out routine physical inspections at the same frequency as in the past. This paper provides an overview of the model development process for one example system, incorporating data from both online monitoring in the plant and from laboratory experiments.
Product Number: 51324-20833-SG
Author: B. R. Shivadhanush; N. J. Laycock; M. Geeta; F. Samie; P. Panchami
Publication Date: 2024
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$40.00