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Data-Driven Technology for Engineering Systems Health Management

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

Jezik EngleskiEngleski
Knjiga Tvrdi uvez
Knjiga Data-Driven Technology for Engineering Systems Health Management Gang Niu
Libristo kod: 13505084
Nakladnici Springer Verlag, Singapore, srpanj 2016
This book introduces condition-based maintenance (CBM)/data-driven prognostics and health management... Cijeli opis
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174.39 €
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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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Informacije o knjizi

Puni naziv Data-Driven Technology for Engineering Systems Health Management
Autor Gang Niu
Jezik Engleski
Uvez Knjiga - Tvrdi uvez
Datum izdanja 2016
Broj stranica 357
EAN 9789811020315
ISBN 9811020310
Libristo kod 13505084
Nakladnici Springer Verlag, Singapore
Težina 6801
Dimenzije 155 x 235 x 25

Kategorija

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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