Data-Driven Technology for Engineering Systems Health Management: Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisi 2017 Edition Contributor(s): Niu, Gang (Author) |
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ISBN: 9811020310 ISBN-13: 9789811020315 Publisher: Springer
Binding Type: Hardcover - See All Available Formats & Editions Published: August 2016 |
Additional Information |
BISAC Categories: - Technology & Engineering | Quality Control - Computers | Hardware - Mobile Devices - Mathematics | Applied |
Dewey: 004.24 |
Physical Information: 0.88" H x 6.14" W x 9.21" L (1.53 lbs) 357 pages |
Features: Illustrated |
Descriptions, Reviews, Etc. |
Publisher Description: 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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