Revista: | Journal of applied research and technology |
Base de datos: | PERIÓDICA |
Número de sistema: | 000367673 |
ISSN: | 1665-6423 |
Autores: | Benítez Pérez, H1 Medina Gómez, L2 |
Instituciones: | 1Universidad Nacional Autónoma de México, Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, México, Distrito Federal. México 2Universidad Nacional Autónoma de México, Facultad de Ciencias, México, Distrito Federal. México |
Año: | 2008 |
Periodo: | Abr |
Volumen: | 6 |
Número: | 1 |
Paginación: | 14-32 |
País: | México |
Idioma: | Inglés |
Tipo de documento: | Artículo |
Enfoque: | Analítico, descriptivo |
Resumen en inglés | The use of several techniques for non-destructive testing is a common strategy for detecting and classifying flaws in aluminium material. Techniques like multiresolution data analysis and data classifiers are valuable for obtaining as much information as possible from the flaws. The combination of both techniques allows the clear definition of several characteristics like localization, size and form. In this study, localization using Time-Frequency Distribution feature extraction and an ART2 neural network as a classifier is the main goal |
Disciplinas: | Ingeniería |
Palabras clave: | Ingeniería de control, Aluminio, Grietas, Pruebas no destructivas, Redes neuronales, Distribución tiempo-frecuencia |
Keyword: | Engineering, Control engineering, Aluminum, Flaws, Non destructive testing, Neuronal networks, Time-frequency distribution |
Texto completo: | Texto completo (Ver HTML) |