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Verlag: Taylor & Francis Ltd (Sales) Dez 2024, 2024
ISBN 10: 1032562978 ISBN 13: 9781032562971
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. 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.
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In den WarenkorbZustand: New. 1st edition NO-PA16APR2015-KAP.
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In den WarenkorbPaperback. Zustand: Brand New. 260 pages. 9.18x6.12x9.21 inches. In Stock.
Verlag: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032562978 ISBN 13: 9781032562971
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. 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. 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 Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Verlag: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032562978 ISBN 13: 9781032562971
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. 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. 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 Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Verlag: Taylor & Francis Ltd, London, 2024
ISBN 10: 1032562978 ISBN 13: 9781032562971
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: new. Paperback. 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. 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 Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbHardback. Zustand: New. New copy - Usually dispatched within 4 working days. 698.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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Verlag: Taylor & Francis Ltd, London, 2023
ISBN 10: 1032054360 ISBN 13: 9781032054360
Sprache: Englisch
Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: new. Hardcover. 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. 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 Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 224,05
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In den WarenkorbHardcover. Zustand: Brand New. 280 pages. 9.19x6.13x0.78 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 260 pages. 9.18x6.12x9.21 inches. In Stock. This item is printed on demand.
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In den WarenkorbZustand: 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.
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
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In den WarenkorbHRD. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 280 pages. 9.19x6.13x0.78 inches. In Stock. This item is printed on demand.
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.