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Books > Computing & IT > Applications of computing > Databases > Data mining

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Data-Driven Technology for Engineering Systems Health Management - Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions (Hardcover, 1st ed. 2017) Loot Price: R5,518

Discovery Miles 55 180

Repayment Terms: R517 pm x 12*

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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 (Hardcover, 1st ed. 2017)

Gang Niu

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Loot Price R5,518 Discovery Miles 55 180 | Repayment Terms: R517 pm x 12*

Expected to ship within 12 - 17 working days

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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:	August 2016
First published:	2017
Authors:	Gang Niu
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	357
Edition:	1st ed. 2017
ISBN-13:	978-981-10-2031-5
Categories:	Books > Computing & IT > General theory of computing > Systems analysis & design Books > Computing & IT > Applications of computing > Pattern recognition Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	981-10-2031-0
Barcode:	9789811020315