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Statistical Process Control based on Multivariate Image Analysis: A new proposal for monitoring and defect detection

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Statistical Process Control based on Multivariate Image Analysis: A new proposal for monitoring and defect detection

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Prats Montalbán, JM.; Ferrer Riquelme, AJ. (2014). Statistical Process Control based on Multivariate Image Analysis: A new proposal for monitoring and defect detection. Computers and Chemical Engineering. 71:501-511. doi:10.1016/j.compchemeng.2014.09.014

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/50302

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Title: Statistical Process Control based on Multivariate Image Analysis: A new proposal for monitoring and defect detection
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Issued date:
Abstract:
The monitoring, fault detection and visualization of defects are a strategic issue for product quality. This paper presents a novel methodology based on the integration of textural Multivariate image analysis (MIA) and ...[+]
Subjects: Multivariate Image Analysis (MIA) , ARL , Control charts , RSS image , T2 image , Wavelets
Copyrigths: Reserva de todos los derechos
Source:
Computers and Chemical Engineering. (issn: 0098-1354 )
DOI: 10.1016/j.compchemeng.2014.09.014
Publisher:
Elsevier
Thanks:
The authors want to thank Ole Mathis Kruse and Prof. Cecilia Futsaether, from the Norwegian University of Life Sciences (Dept. of Mathematic Sciences and Technology), for providing the real image data set. This research ...[+]
Type: Artículo

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