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

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.

Automated summary

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.