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[null,"1.","Record Nr.",null,"UNINA9910451300703321"]
[null,null,"Titolo",null,"Advances in degradations monitoring and predictive maintenance [[electronic resource] /] / editor, Kondo H. Adjallah"]
[null,null,"Pubbl/distr/stampa",null,"Bradford, : Emerald Group Press, c2007"]
[null,null,"ISBN",null,"1-280-92914-6"]
[{"$nulls":4},"9786610929146"]
[{"$nulls":4},"1-84663-479-2"]
[null,null,"Descrizione fisica",null,"1 online resource (108 p.)"]
[null,null,"Collana",null,"Journal of Quality in Maintenance Engineering ; ; 13, no. 2"]
[null,null,"Disciplina",null,"658.202"]
[null,null,"Soggetti",null,"Plant maintenance - Management"]
[{"$nulls":4},"Total quality management"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,"Nota di contenuto",null,"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"]
[{"$nulls":4},"Maintenance alternative integration to prognosis process engineering"]
[null,null,null,"Sommario/riassunto","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"]