期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 214, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2022.119104
关键词
Expert system; Fuzzy logic; Knowledge acquisition; Corrosion
This article presents an expert system with fuzzy logic for the visual analysis of corrosion on ferrous metal surfaces. The system serves as a support tool for experts in this field.
Corrosion is one of main mechanisms of degradation in metallic materials. This article presents an expert system with fuzzy logic as a learning method for the visual analysis of ferrous metal surfaces. The procedure includes five input variables that represent the principal macroscopic visual variables of the proposed corrosion mechanisms for ferrous metal surfaces. This new method is intended as a support tool for experts in visual analysis of corrosive phenomena on ferrous metal surfaces.
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