Data-Driven Technology for Engineering Systems Health Management

Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions

Gang Niu (Autor)

Buch | Hardcover

357 Seiten

2016 | 1st ed. 2017
Springer Verlag, Singapore
978-981-10-2031-5 (ISBN)

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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.

Background of Systems Health Management.- Design Approach for Systems Health Management.- Overview of Data-driven PHM.- Data Acquisition and Preprocessing.- Statistic Feature Extraction.- Feature Selection Optimization.- Intelligent Fault Diagnosis Methodology.- Science of Prognostics.- Data Fusion Strategy.- System Support and Logistics.

Erscheinungsdatum	08.10.2016
Zusatzinfo	204 Illustrations, black and white; XIII, 357 p. 204 illus.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Naturwissenschaften ► Physik / Astronomie
	Technik ► Bauwesen
	Technik ► Maschinenbau
Schlagworte	Condition Monitoring • data-driven health management • engineering SHM • Fault Diagnosis • intelligent maintenance • PHM design • Prognostics health management
ISBN-10	981-10-2031-0 / 9811020310
ISBN-13	978-981-10-2031-5 / 9789811020315
Zustand	Neuware