Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 74,74
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Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 0367563096 ISBN 13: 9780367563097
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Maintenance combines various methods, tools, and techniques in a bid to reduce maintenance costs while increasing the reliability, availability, and security of equipment. Condition-based maintenance (CBM) is one such method, and prognostics forms a key element of a CBM program based on mathematical models for predicting remaining useful life (RUL). Prognostics and Remaining Useful Life (RUL) Estimation: Predicting with Confidence compares the techniques and models used to estimate the RUL of different assets, including a review of the relevant literature on prognostic techniques and their use in the industrial field. This book describes different approaches and prognosis methods for different assets backed up by appropriate case studies.FEATURES Presents a compendium of RUL estimation methods and technologies used in predictive maintenance Describes different approaches and prognosis methods for different assets Includes a comprehensive compilation of methods from model-based and data-driven to hybrid Discusses the benchmarking of RUL estimation methods according to accuracy and uncertainty, depending on the target application, the type of asset, and the forecast performance expected Contains a toolset of methods and a way of deployment aimed at a versatile audienceThis book is aimed at professionals, senior undergraduates, and graduate students in all interdisciplinary engineering streams that focus on prognosis and maintenance. Current book compares the techniques and models used to estimate the RUL of different assets including review of the relevant literature on prognostic techniques and their use in the industrial field. It describes different approaches and prognosis methods for different assets backed up by appropriate case studies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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EUR 74,62
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 870.
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 489 pages. 10.00x7.00x10.00 inches. In Stock.
Da: Chiron Media, Wallingford, Regno Unito
EUR 165,47
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 190,23
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 208,65
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 223,25
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 220,61
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Da: Chiron Media, Wallingford, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 221,87
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: Majestic Books, Hounslow, Regno Unito
EUR 240,62
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 256,43
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Aggiungi al carrelloCondizione: New. 2021. 1st Edition. Hardcover. . . . . .
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 269,52
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Da: Revaluation Books, Exeter, Regno Unito
EUR 272,30
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Aggiungi al carrelloHardcover. Condizione: Brand New. 464 pages. 10.50x7.50x1.25 inches. In Stock.
EUR 240,60
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Editore: Taylor and Francis Ltd, GB, 2021
ISBN 10: 0367563061 ISBN 13: 9780367563066
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Prima edizione
EUR 322,43
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. 1st. Maintenance combines various methods, tools, and techniques in a bid to reduce maintenance costs while increasing the reliability, availability, and security of equipment. Condition-based maintenance (CBM) is one such method, and prognostics forms a key element of a CBM program based on mathematical models for predicting remaining useful life (RUL). Prognostics and Remaining Useful Life (RUL) Estimation: Predicting with Confidence compares the techniques and models used to estimate the RUL of different assets, including a review of the relevant literature on prognostic techniques and their use in the industrial field. This book describes different approaches and prognosis methods for different assets backed up by appropriate case studies.FEATURES Presents a compendium of RUL estimation methods and technologies used in predictive maintenance Describes different approaches and prognosis methods for different assets Includes a comprehensive compilation of methods from model-based and data-driven to hybrid Discusses the benchmarking of RUL estimation methods according to accuracy and uncertainty, depending on the target application, the type of asset, and the forecast performance expected Contains a toolset of methods and a way of deployment aimed at a versatile audienceThis book is aimed at professionals, senior undergraduates, and graduate students in all interdisciplinary engineering streams that focus on prognosis and maintenance.
Condizione: New. 2021. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
Da: preigu, Osnabrück, Germania
EUR 265,20
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Aggiungi al carrelloBuch. Condizione: Neu. Prognostics and Remaining Useful Life (RUL) Estimation | Predicting with Confidence | Diego Galar (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2021 | CRC Press | EAN 9780367563066 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Da: Revaluation Books, Exeter, Regno Unito
EUR 332,96
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 464 pages. 10.50x7.50x1.25 inches. In Stock.