Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 181,45
Quantità: Più di 20 disponibili
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 185,94
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Da: California Books, Miami, FL, U.S.A.
EUR 191,78
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 174,44
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Da: Majestic Books, Hounslow, Regno Unito
EUR 191,17
Quantità: 3 disponibili
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 181,44
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 194,08
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 215,31
Quantità: 3 disponibili
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 218,99
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Revaluation Books, Exeter, Regno Unito
EUR 250,79
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 280 pages. 9.19x6.13x0.78 inches. In Stock.
Da: Basi6 International, Irving, TX, U.S.A.
EUR 125,48
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Aggiungi al carrelloCondizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 155,20
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The text discusses the latest data-driven, physics-based, and hybrid approaches employed in each stage of industrial prognostics and reliability estimation. It will be a useful text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, electrical engineering, and computer science.The bookDiscusses basic as well as advance research in the field of prognosticsExplores integration of data collection, fault detection, degradation modeling and reliability prediction in one volumeCovers prognostics and health management (PHM) of engineering systemsDiscusses latest approaches in the field of prognostics based on machine learningThe text deals with tools and techniques used to predict/ extrapolate/ forecast the process behavior, based on current health state assessment and future operating conditions with the help of Machine learning. It will serve as a useful reference text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, manufacturing science, electrical engineering, and computer science. 262 pp. Englisch.
Da: moluna, Greven, Germania
EUR 140,83
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Gunjan Soni did his B.E. from University of Rajasthan, M.Tech from IIT, Delhi and PhD. From Birla Institute of Technology and Science, Pilani in 2012. He is presently working as an Assistant Professor with Department of Mechanical Engineering, Malaviya N.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 201,06
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 197,50
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 171,54
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The text discusses the latest data-driven, physics-based, and hybrid approaches employed in each stage of industrial prognostics and reliability estimation. It will be a useful text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, electrical engineering, and computer science.The bookDiscusses basic as well as advance research in the field of prognosticsExplores integration of data collection, fault detection, degradation modeling and reliability prediction in one volumeCovers prognostics and health management (PHM) of engineering systemsDiscusses latest approaches in the field of prognostics based on machine learningThe text deals with tools and techniques used to predict/ extrapolate/ forecast the process behavior, based on current health state assessment and future operating conditions with the help of Machine learning. It will serve as a useful reference text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering, manufacturing science, electrical engineering, and computer science.