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Data-Driven Technology for Engineering Systems Health Management - Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions (Paperback, Softcover reprint of the original 1st ed. 2017) Loot Price: R6,102
Discovery Miles 61 020
Data-Driven Technology for Engineering Systems Health Management - Design Approach, Feature Construction, Fault Diagnosis,...

Data-Driven Technology for Engineering Systems Health Management - Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions (Paperback, Softcover reprint of the original 1st ed. 2017)

Gang Niu

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Loot Price R6,102 Discovery Miles 61 020 | Repayment Terms: R572 pm x 12*

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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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Release date: June 2018
First published: 2017
Authors: Gang Niu
Dimensions: 235 x 155 x 20mm (L x W x T)
Format: Paperback
Pages: 357
Edition: Softcover reprint of the original 1st ed. 2017
ISBN-13: 978-981-10-9509-2
Categories: Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Computer hardware & operating systems > Handheld devices (eg Palm, PocketPC)
Books > Science & Mathematics > Mathematics > Algebra > General
Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Industrial quality control
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
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LSN: 981-10-9509-4
Barcode: 9789811095092

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