Data-Driven Technology for Engineering Systems Health Management: Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions

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 ... Read More

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. Read Less

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  	This is a digital edition of this title. Rent eBook (5 Options) 30 Day Rental: $50.70 (Expires Jul 30, 2024) 60 Day Rental: $67.60 (Expires Aug 29, 2024) 90 Day Rental: $84.50 (Expires Sep 28, 2024) 120 Day Rental: $101.40 (Expires Oct 28, 2024) 180 Day Rental: $109.85 (Expires Dec 27, 2024) Buy eBook Lifetime Access: $169.00 Title: Data-Driven Technology for Engineering Systems Health Management by Gang Niu Publisher: Springer Nature Print ISBN: 9789811020315, 9811020310 eText ISBN: 9789811020322 Edition: 2016 Format: PDF eBook	$50.70 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ