ISO/AWI 25634
Résumé
Multiple fields of data science technology such as statistical method, scientific method, machine learning, deep learning, artificial intelligence (AI), and data analysis are applied to define a method to manage corrosion rate (corrosion life) or corrosion risk in atmospheric corrosion environment from enormous data on materials and environment. [*] The process of optimizing corrosion management such as corrosion prevention methods, corrosion risk categorization, corrosion life estimation, and establishment of equipment maintenance measures using data science technology is roughly composed of the following items This document is applicable to: — date acquisition and selection (corrosion data, environmental data); — data preparation for quality improvement; — model selection, learning, verification,and rule derivation; — improvements of corrosion risk management and corrosion control. The steps to actually apply data science technology are defined in the classification of use cases. Broadly, it consists of the following: 1)data acquisition; 2)Study of the learning model; 3)prediction.
Informations générales
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État actuel: ProjetStade: Nouveau projet enregistré au programme de travail du TC/SC [20.00]
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Edition: 1
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Comité technique :ISO/TC 156
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