2017 Frank Newman Speller Award: Knowledge-Based Predictive Analytics in Corrosion

Volume: 74, Issue: 2, Pages: 181 - 196
Published: Feb 1, 2018
Abstract
Corrosion researchers have developed many approaches to predicting the occurrence of different corrosion modes. Four types of predictive analytics can be identified: data-centric correlative analysis, theory-based semi-empirical models, expert-knowledge-based models, and theory-based, multi-scale models. However, most new corrosion failures have been serendipitous discoveries, rather than anticipated through a systematic process. This paper...
Paper Details
Title
2017 Frank Newman Speller Award: Knowledge-Based Predictive Analytics in Corrosion
Published Date
Feb 1, 2018
Journal
Volume
74
Issue
2
Pages
181 - 196
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