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Fault diagnosis and comparing risk for the steel coil manufacturing process using statistical models for binary data

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Fault diagnosis and comparing risk for the steel coil manufacturing process using statistical models for binary data

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Debón Aucejo, AM.; García-Díaz, JC. (2012). Fault diagnosis and comparing risk for the steel coil manufacturing process using statistical models for binary data. Reliability Engineering and System Safety. 100:102-114. doi:10.1016/j.ress.2011.12.022

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/60940

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Title: Fault diagnosis and comparing risk for the steel coil manufacturing process using statistical models for binary data
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:
[EN] Advanced statistical models can help industry to design more economical and rational investment plans. Fault detection and diagnosis is an important problem in continuous hot dip galvanizing. Increasingly stringent ...[+]
Subjects: Generalized additive models , ROC curve , Bootstrapping , Generalized linear models
Copyrigths: Reserva de todos los derechos
Source:
Reliability Engineering and System Safety. (issn: 0951-8320 )
DOI: 10.1016/j.ress.2011.12.022
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.ress.2011.12.022
Thanks:
The authors are indebted to the anonymous referees whose suggestions improved the original manuscript. This work was supported by a grant from PAID-06-08 (Programa de Apoyo a la Investigacion y Desarrollo) of the Universitat ...[+]
Type: Artículo

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