Expert system through a fuzzy logic approach for the macroscopic visual analysis of corroded metallic ferrous surfaces: Knowledge acquisition process

•Expert system for the visual analysis of ferrous metal surfaces.•Fuzzy logic was used as a learning method.•The planned corrosion mechanisms are represented by five macroscopic visual variables.•A new method as a tool for experts support in visual analysis of corrosive phenomena. Corrosion is one o...

Full description

Saved in:
Bibliographic Details
Published inExpert systems with applications Vol. 214; p. 119104
Main Authors Bárcenas Castañeda, Mariana, Enrique Calatayud Velázquez, Luis, Silvia Roblero Aguilar, Sandra, Solís Romero, José, Augusto Castellanos Escamilla, Víctor
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 15.03.2023
Subjects
Corrosion
Expert system
Fuzzy logic
Knowledge acquisition
Fuzzy logic
Knowledge acquisition
Corrosion
Expert system
Online AccessGet full text

Cover

More Information
Summary:•Expert system for the visual analysis of ferrous metal surfaces.•Fuzzy logic was used as a learning method.•The planned corrosion mechanisms are represented by five macroscopic visual variables.•A new method as a tool for experts support in visual analysis of corrosive phenomena. 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.
ISSN:0957-4174
1873-6793
DOI:10.1016/j.eswa.2022.119104