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Data-driven Technology for Engineering Systems Health Management: Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions - Rilegato
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This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis.
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This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis.
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Data-Driven Technology for Engineering Systems Health Management: Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions
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Data-driven Technology for Engineering Systems Health Management : Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions
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Data-driven Technology for Engineering System Health Management
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers regular expressions usage in feature-based strategy and methodology for PHM/CBMOffers an in-depth review and explanations of algorithms for data-driven PHM/CBMIncludes handy quick-reference tables to help readers with regular express. Codice articolo 122681798
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Data-Driven Technology for Engineering Systems Health Management
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Springer Nature Singapore Aug 2016, 2016
ISBN 10: 9811020310
ISBN 13: 9789811020315
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis. 372 pp. Englisch. Codice articolo 9789811020315
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Data-driven Technology for Engineering Systems Health Management : Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions
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Data-Driven Technology for Engineering Systems Health Management (Hardcover)
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Springer Verlag, Singapore, Singapore, 2016
ISBN 10: 9811020310
ISBN 13: 9789811020315
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Hardcover. Condizione: new. Hardcover. This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis. This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9789811020315
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Data-Driven Technology for Engineering Systems Health Management
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Springer Verlag, Singapore, 2016
ISBN 10: 9811020310
ISBN 13: 9789811020315
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Condizione: New. Num Pages: 370 pages, 204 black & white illustrations, biography. BIC Classification: PBW; UNF; UYD; UYQP. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 22. Weight in Grams: 719. . 2016. 1st ed. 2017. Hardback. . . . . Codice articolo V9789811020315
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Buch. Condizione: Neu. Neuware -This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 372 pp. Englisch. Codice articolo 9789811020315
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Data-Driven Technology for Engineering Systems Health Management : Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions
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Springer Nature Singapore, Springer Nature Singapore, 2016
ISBN 10: 9811020310
ISBN 13: 9789811020315
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management (PHM) in detail, first explaining the PHM design approach from a systems engineering perspective, then summarizing and elaborating on the data-driven methodology for feature construction, as well as feature-based fault diagnosis and prognosis. The book includes a wealth of illustrations and tables to help explain the algorithms, as well as practical examples showing how to use this tool to solve situations for which analytic solutions are poorly suited. It equips readers to apply the concepts discussed in order to analyze and solve a variety of problems in PHM system design, feature construction, fault diagnosis and prognosis. Codice articolo 9789811020315
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Data-Driven Technology for Engineering Systems Health Management
Da: Kennys Bookstore, Olney, MD, U.S.A.
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Condizione: New. Num Pages: 370 pages, 204 black & white illustrations, biography. BIC Classification: PBW; UNF; UYD; UYQP. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 22. Weight in Grams: 719. . 2016. 1st ed. 2017. Hardback. . . . . Books ship from the US and Ireland. Codice articolo V9789811020315
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