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51315-5723-Field Data Collection Evaluation and Use for Corrosivity Prediction and Validation of Models

Product Number: 51315-5723-SG
ISBN: 5723 2015 CP
Author: Yves Gunaltun
Publication Date: 2015
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Yves Gunaltun; Ardjan Kopliku.Abstract:The collection of good quality and reliable data is critical in the task of model evaluation. The use of invalid data would steer the modeling work in a wrong direction causing the decrease in the accuracy of models.Types of data that can be used for validation of prediction models importance of field data in validation of prediction models and the way they are collected and interpreted are explained in paper 2006. There is no important change since then except for top of the line corrosion. Important part of the paper will be dedicated to this subject. Also referring to the conclusions of the paper published in 2006 all recommended domains for improvement were reviewed and the current situation is summarised. The paper has three sections:
  1. Conclusions of the 2006 paper
  2. Summary of developments since 2006 including the case of top of the line corrosoin
  3. Remaining domains of improvements
Yves Gunaltun; Ardjan Kopliku.Abstract:The collection of good quality and reliable data is critical in the task of model evaluation. The use of invalid data would steer the modeling work in a wrong direction causing the decrease in the accuracy of models.Types of data that can be used for validation of prediction models importance of field data in validation of prediction models and the way they are collected and interpreted are explained in paper 2006. There is no important change since then except for top of the line corrosion. Important part of the paper will be dedicated to this subject. Also referring to the conclusions of the paper published in 2006 all recommended domains for improvement were reviewed and the current situation is summarised. The paper has three sections:
  1. Conclusions of the 2006 paper
  2. Summary of developments since 2006 including the case of top of the line corrosoin
  3. Remaining domains of improvements
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