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Structural Health Monitoring: A Machine Learning Perspective Farrar, Charles R. (Los Alamos National Laboratory, USA)
Structural Health Monitoring: A Machine Learning Perspective
Farrar, Charles R. (Los Alamos National Laboratory, USA)
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.
654 pages, Illustrations
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | November 30, 2012 |
| ISBN13 | 9781119994336 |
| Publishers | John Wiley & Sons Inc |
| Pages | 656 |
| Dimensions | 173 × 251 × 35 mm · 1.11 kg |
| Language | English |