Data-Driven Technology for Engineering Systems Health Management
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Description for Data-Driven Technology for Engineering Systems Health Management
Hardback. Num Pages: 370 pages, 204 black & white illustrations, biography. BIC Classification: PBW; UNF; UYD; UYQP. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 22. Weight in Grams: 719.
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, ... Read more
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, ... Read more
Product Details
Format
Hardback
Publication date
2016
Publisher
Springer Verlag, Singapore Singapore
Number of pages
370
Condition
New
Number of Pages
357
Place of Publication
Singapore, Singapore
ISBN
9789811020315
SKU
V9789811020315
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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