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Structural Health Monitoring
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-s...
New Trends in Vibration Based Structural Health Monitoring
This book is a collection of articles covering the six lecture courses given at the CISM School on this topic in 2008. It features contributions by established international experts and offers a coherent and comprehensive overview of the state-of-the art research in the field, thus addressing both postgraduate students and researchers in aerospace, mechanical and civil engineering.
Damage Prognosis
Damage prognosis is a natural extension of damage detection and structural health monitoring and is forming a growing part of many businesses. This comprehensive volume presents a series of fundamental topics that define the new area of damage prognosis. Bringing together essential information in each of the basic technologies necessary to perform damage prognosis, it also reflects the highly interdisciplinary nature of the industry through the extensive referencing of each of the component disciplines. Taken from lectures given at the Pan American Advanced Studies Institute in Damage Prognosis sponsored by the US National Science Foundation in cooperation with Los Alamos National Laboratories, this book will be essential reading for anyone looking to get to grips with the fundamentals of damage prognosis. Presents the 'ground rules' for Damage Prognosis. Deals with interdisciplinary topics: rotating machines, aerospace structures, automotive components and civil structures. Covers essential technical material: equations, graphs and plots, tables and photographs. Offers additional material from the associated workshop on an active web site.
Structural Health Monitoring 2003
Important new information on sensors, monitoring, prognosis, networking, and planning for safety and maintenance.
Brat Farrar
The story is about the Ashbys, an English country-squire family. Their centuries-old family estate is Latchetts, in the fictional village of Clare, near the south coast of England. It takes place in the late 1940s, after World War II. The Ashby family consists of Beatrice Ashby ("Aunt Bee"), a spinster of about 50, and the four children of her late brother Bill: Simon, 20; Eleanor, 18–19 and the twins Jane and Ruth, 9. Bill and his wife Nora died eight years earlier. Since then, the Ashbys have been short of money. Bee has kept the estate going by turning the family stable into a profitable business and combining breeding, selling and training horses with riding lessons. When Simon turns 2...
Artificial Intelligence in Vision-Based Structural Health Monitoring
Zusammenfassung: This book introduces and implements the state-of-the-art machine learning and deep learning technologies for vision-based SHM applications. Specifically, corresponding to the above-mentioned scientific questions, it consists of: (1) motivation, background & progress of AI-aided vision-based SHM, (2) fundamentals of machine learning & deep learning approaches, (3) basic AI applications in vision-based SHM, (4) advanced topics & approaches, and (5) resilient AI-aided applications. In the introduction, a brief coverage about the development progress of AI technologies in the vision-based area is presented. It gives the readers the motivations and background of the relevant rese...
