Saved in:
| Main Author: | |
|---|---|
| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad Nacional de Colombia
2018
|
| Subjects: | |
| Online Access: | https://www.redalyc.org/articulo.oa?id=64358093014 https://www.redalyc.org/journal/643/64358093014/ https://www.redalyc.org/journal/643/64358093014/html/ https://www.redalyc.org/journal/643/64358093014/64358093014.epub https://www.redalyc.org/journal/643/64358093014/movil |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- System for the recognition of wear patterns on microstructures of carbon steels using a multilayer perceptron Edgar A. Ruelas-Santoyo José A. Vázquez-López Javier Yañez-Mendiola Roberto Baeza-Serrato José A. Jimenez-García Juan Sanchez-Márquez Ingeniería material defects digital image processing Artificial Neural Network 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. 2018 artículo científico 0120-5609 https://www.redalyc.org/articulo.oa?id=64358093014 https://www.redalyc.org/journal/643/64358093014/ https://www.redalyc.org/journal/643/64358093014/html/ https://www.redalyc.org/journal/643/64358093014/64358093014.epub https://www.redalyc.org/journal/643/64358093014/movil 10.15446/ing.investig.v38n1.60265 en http://www.redalyc.org/revista.oa?id=643 Ingeniería e Investigación application/pdf Universidad Nacional de Colombia Ingeniería e Investigación (Colombia) Num.1 Vol.38