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Can I read Structural Health Monitoring : A Machine Learning Perspective on EtoBox?
Structural Health Monitoring : A Machine Learning Perspective by Charles R. Farrar, Keith Worden(auth.) is a nonfiction available to read on EtoBox.
What is Structural Health Monitoring : A Machine Learning Perspective about?
**Written by global leaders and pioneers in the field, this book is a must-have read for researchers, practicing engineers and university faculty working in SHM.**__Structural Health Monitoring: A Machine Learning Perspective__ is the first comprehensive book on the general problem of structural health monitoring. The authors, renowned experts in the field, consider structural health monitoring in a new manner by casting the problem in the context of a machine learning/statistical pattern recognition paradigm, first explaining the paradigm in general terms then explaining the process in detail with further insight provided via numerical and experimental studies of laboratory test specimens and __in-situ__ structures. This paradigm provides a comprehensive framework for developing SHM solutions. __Structural Health Monitoring: A Machine Learning Perspective__ makes extensive use of the authors’ detailed surveys of the technical literature, the experience they have gained from teaching numerous courses on this subject, and the results of performing numerous analytical and experimental structural health monitoring studies. * Considers structural health monitoring in a new manner by c
Who reads Structural Health Monitoring : A Machine Learning Perspective?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Charles R. Farrar, Keith Worden(auth.)
- Publisher
- John Wiley & Sons, Ltd
- Published
- 2012
- Language
- EN
- ISBN
- 9781119994336
- Category
- nonfiction
- Subjects
- Engineering, Computer Science, Programming
- Updated
- 2026-03-24
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