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Can I read Data-Driven Technology for Engineering Systems Health Management : Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions on EtoBox?
Data-Driven Technology for Engineering Systems Health Management : Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions by Gang Niu (auth.) is a science book available to read on EtoBox.
What is Data-Driven Technology for Engineering Systems Health Management : Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions about?
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
Who reads Data-Driven Technology for Engineering Systems Health Management : Design Approach, Feature Construction, Fault Diagnosis, Prognosis, Fusion and Decisions?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Gang Niu (auth.)
- Publisher
- Springer Singapore : Imprint : Springer
- Published
- 2017
- Language
- EN
- ISBN
- 9789811020315
- Category
- science
- Subjects
- Science, Engineering, Mathematics
- Updated
- 2026-03-25
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