Description: Data-driven Technology for Engineering Systems Health Management : Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions, Hardcover by Niu, Gang, ISBN 9811020310, ISBN-13 9789811020315, Like New Used, Free shipping in the US 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. Th 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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Book Title: Data-Driven Technology for Engineering Systems Health Management : Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions
Number of Pages: Xiii, 357 Pages
Language: English
Publisher: Springer
Item Height: 0.9 in
Topic: Systems Architecture / General, Machinery, Applied, Physics / General
Publication Year: 2016
Illustrator: Yes
Genre: Mathematics, Computers, Technology & Engineering, Science
Item Weight: 239.9 Oz
Author: Gang Niu
Item Length: 9.2 in
Item Width: 6.1 in
Format: Hardcover