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(Ebook) Data-Driven Technology for Engineering Systems Health Management: Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions by Gang Niu (auth.) ISBN 9789811020315, 9789811020322, 9811020310, 9811020329

  • SKU: EBN-5676130
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4.5

37 reviews
Instant download (eBook) Data-Driven Technology for Engineering Systems Health Management: Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions after payment.
Authors:Gang Niu (auth.)
Pages:364 pages.
Year:2017
Editon:1
Publisher:Springer Singapore
Language:english
File Size:11.93 MB
Format:pdf
ISBNS:9789811020315, 9789811020322, 9811020310, 9811020329
Categories: Ebooks

Product desciption

(Ebook) Data-Driven Technology for Engineering Systems Health Management: Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions by Gang Niu (auth.) ISBN 9789811020315, 9789811020322, 9811020310, 9811020329

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.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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