Application of Machine Learning for Data with an Atmospheric Corrosion Monitoring Sensor Based on Strain Measurements

Machine learning methods were applied to data with an atmospheric corrosion monitoring sensor based on strain measurements to improve the evaluation accuracy of the thickness reduction of a low-carbon steel plate due to atmospheric corrosion. Monitoring data used in this study were taken in a previo...

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Bibliographic Details
Main Authors: Taisei Okura, Naoya Kasai, Hirotsugu Minowa, Shinji Okazaki
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Metals
Subjects:
Online Access:https://www.mdpi.com/2075-4701/12/7/1179