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Advances in degradations monitoring and predictive maintenance /

This e-book gathers the extended and updated versions of 8 papers selected among 58 from the IMS 2004 international conference, which was held in Troyes, France, in July 2004. They introduce some original approaches and new results that thrust to a real-world predictive maintenance application. This...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Adjallah, Kondo H.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bradford : Emerald Group Press, ©2007.
Colección:Journal of quality in maintenance engineering ; v. 13, no. 2.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Advances in degradations monitoring and predictive maintenance /  |c editor, Kondo H. Adjallah. 
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490 1 |a Journal of quality in maintenance engineering,  |x 1355-2511 ;  |v v. 13, no. 2 
504 |a Includes bibliographical references. 
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505 0 |a Cover; CONTENTS; EDITORIAL ADVISORY BOARD; Guest editorial; Prediction of system reliability for single component repair; A structured approach for the assessment of system availability and reliability using Monte Carlo simulation; Evaluation of the uncertainty affecting reliability models; Basis pursuit-based intelligent diagnosis of bearing faults; Feature-based fault diagnosis system of induction motors using vibration signal; Real-time degradation monitoring and failure prediction of pulse energy conversion systems; Strain monitoring of railway bridges using optic fiber sensors. 
520 |a This e-book gathers the extended and updated versions of 8 papers selected among 58 from the IMS 2004 international conference, which was held in Troyes, France, in July 2004. They introduce some original approaches and new results that thrust to a real-world predictive maintenance application. This e-book also aims at promoting the development of intelligent and efficient maintenance systems, to reach failure risks closer to zero. The selected papers offer methods enabling a satisfactory operational availability of machineries, through the monitoring, the diagnosis, the forecasting and the de. 
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650 0 |a Plant maintenance  |x Management. 
650 0 |a Total quality management. 
650 2 |a Total Quality Management 
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650 6 |a Qualité totale. 
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830 0 |a Journal of quality in maintenance engineering ;  |v v. 13, no. 2. 
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