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
Title: | Fault diagnosis and comparing risk for the steel coil manufacturing process using statistical models for binary data | |
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[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 ...[+]
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Copyrigths: | Reserva de todos los derechos | |
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Publisher version: | http://dx.doi.org/10.1016/j.ress.2011.12.022 | |
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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 ...[+]
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