System for the recognition of wear patterns on microstructures of carbon steels using a multilayer perceptron

ABSTRACT This paper describes the application of a recognition system wear patterns present in carbon steel, the system classifies the microstructure of the materials which have three conditions throughout life-time in thermoelectric plants. This approach employs the artificial neural network multil...

Full description

Saved in:
Bibliographic Details
Published in:Ingeniería e investigación 2018-04, Vol.38 (1), p.113-120
Main Authors: Ruelas-Santoyo, Edgar A., Vázquez-López, José A., Yañez-Mendiola, Javier, Baeza-Serrato, Roberto, Jimenez-García, José A., Sanchez-Márquez, Juan
Format: Article
Language:eng ; por
Subjects:
ENGINEERING, MULTIDISCIPLINARY
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:ABSTRACT This paper describes the application of a recognition system wear patterns present in carbon steel, the system classifies the microstructure of the materials which have three conditions throughout life-time in thermoelectric plants. This approach employs the artificial neural network multilayer perceptron in conjunction with the digital image processing to recognize the different physical states of the materials used as conductors in conditions of high temperatures. The studied patterns in the microstructure are spheronization, decarburization and graphitization. The microstructure is revealed from microscope images obtained in the Testing Laboratory Equipment and Materials of the Federal Electricity Commission in Mexico (LAPEM-CFE). The proposed system compared to the human expert, obtained an accuracy of 96.83 % with a shorter analysis time and inspection cost.
ISSN:0120-5609
DOI:10.15446/ing.investig.v38n1.60265