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Structural Health Monitoring: A Machine Learning Perspective

Charles R. Farrar, Keith Worden




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 | #1515403 in Books |  2012-12-26 | Original language:English | PDF # 1 |  9.90 x1.32 x6.95l,.0 | File type: PDF | 654 pages

||0 of 0 people found the following review helpful.| Four Stars|By Reza Azizian|It is good though I expected that pictures in color.|0 of 0 people found the following review helpful.| Excellent Resource for SHM|By Matthew|I have read this book, cover-to-cover. It is excellent. It presents a structured framework for solving pattern recognition problems of just about any type. W|From the Back Cover||Electrical Installation Designs is the only book on electrical installation practice that uses typical projects to illustrate how to produce designs that comply with current standards.  |This Fourth Edition has been revised and u

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 m...

You easily download any file type for your device.Structural Health Monitoring: A Machine Learning Perspective   |  Charles R. Farrar, Keith Worden.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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