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Data-Driven Technology for Engineering Systems Health Management

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

Language EnglishEnglish
Book Hardback
Book Data-Driven Technology for Engineering Systems Health Management Gang Niu
Libristo code: 13505084
Publishers Springer Verlag, Singapore, July 2016
This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management... Full description
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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.§§

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About the book

Full name Data-Driven Technology for Engineering Systems Health Management
Author Gang Niu
Language English
Binding Book - Hardback
Date of issue 2016
Number of pages 357
EAN 9789811020315
ISBN 9811020310
Libristo code 13505084
Publishers Springer Verlag, Singapore
Weight 6801
Dimensions 155 x 235 x 25

Categories

Technology, Engineering, Agriculture > Mechanical engineering & materials > Production engineering > Industrial quality control
Technology, Engineering, Agriculture > Mechanical engineering & materials > Production engineering > Reliability engineering
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition
Mathematics & Science > Mathematics > Applied mathematics
Technology, Engineering, Agriculture > Technology: general issues > Engineering: general
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Computer science > Systems analysis & design
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