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Record Nr. |
UNINA9910783901803321 |
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Titolo |
Advances in degradations monitoring and predictive maintenance [[electronic resource] /] / editor, Kondo H. Adjallah |
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Pubbl/distr/stampa |
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Bradford, : Emerald Group Press, c2007 |
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ISBN |
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1-280-92914-6 |
9786610929146 |
1-84663-479-2 |
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Descrizione fisica |
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1 online resource (108 p.) |
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Collana |
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Journal of Quality in Maintenance Engineering ; ; 13, no. 2 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Plant maintenance - Management |
Total quality management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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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 |
Maintenance alternative integration to prognosis process engineering |
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Sommario/riassunto |
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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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