Data-Driven Technology for Engineering Systems Health Management : Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions
Softcover reprint of the original 1st ed. 2017
by
Gang Niu
Book Details
Format
Paperback / Softback
ISBN-10
9811095094
ISBN-13
9789811095092
Edition
Softcover reprint of the original 1st ed. 2017
Publisher
Springer Verlag, Singapore
Imprint
Springer Verlag, Singapore
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jun 7th, 2018
Print length
357 Pages
Product Classification:
Applied mathematicsIndustrial quality controlE-book readers, tablets and other portable devices: consumer / user guidesPortable & handheld devices: consumer/user guidesMobile phones and smartphones: consumer / user guidesMobile phones: consumer/user guidesData miningComputer sciencePattern recognitionComputer vision
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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.
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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