Memorias de investigación
Ponencias en congresos:
Kernel Density-Based Pattern Classification in Blind Fasteners Installation
Año:2017
Áreas de investigación
  • Inteligencia artificial (redes neuronales, lógica borrosa, sistemas expertos, etc),
  • Tratamiento de datos,
  • Modelado de procesos
Datos
Descripción
In this work we introduce a kernel density-based pattern classification approach for the automatic identification of behavioral patterns from monitoring data related to blind fasteners installation. High density regions are estimated from feature space to establish behavioral patterns, automatically removing outliers and noisy instances in an iterative process. First the kernel density estimator is applied on the fastener features representing the quality of the installation. Then the behavioral patterns are identified from resulting high density regions, also considering the proximity between instances. Patterns are computed as the average of related monitoring torque-rotation diagrams. New fastening installations can be thus automatically classified in an online fashion. In order to show the validity of the approach, experiments have been conducted on real fastening data. Experimental results show an accurate pattern identification and classification approach, obtaining a global accuracy over 78% and improving current detection capabilities and existing evaluation systems.
Internacional
Si
Nombre congreso
Hybrid Artificial Intelligent Systems. 12th International Conference, HAIS 2017
Tipo de participación
960
Lugar del congreso
La Rioja (SPAIN)
Revisores
Si
ISBN o ISSN
978-3-319-59649-5
DOI
10.1007/978-3-319-59650-1
Fecha inicio congreso
21/06/2017
Fecha fin congreso
23/06/2017
Desde la página
195
Hasta la página
206
Título de las actas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10334)
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Alberto Diez Oliván UPM
  • Autor: Ricardo Sanz Bravo UPM
  • Autor: Basilio Sierra Araujo UPV/EHU
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Laboratorio de Sistemas Autónomos
  • Centro o Instituto I+D+i: Centro de Automática y Robótica (CAR). Centro Mixto UPM-CSIC
  • Departamento: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial