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Structural Health Monitoring

Overview of attention for book
Cover of 'Structural Health Monitoring & Damage Detection, Volume 7'

Table of Contents

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    Book Overview
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    Chapter 1 Exploiting Spatial Sparsity in Vibration-Based Damage Detection
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    Chapter 2 Multi-Source Sensing and Analysis for Machine-Array Condition Monitoring
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    Chapter 3 Wavelet Transform-Based Damage Detection in Reinforced Concrete Using an Air-Coupled Impact-Echo Method
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    Chapter 4 Damage Detection Based on Strain Transmissibility for Beam Structure by Using Distributed Fiber Optics
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    Chapter 5 Modal Parameters Estimation of an Offshore Wind Turbine Using Measured Acceleration Signals from the Drive Train
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    Chapter 6 Structural Damage Detection in Real Time: Implementation of 1D Convolutional Neural Networks for SHM Applications
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    Chapter 7 Monitoring the Health of a Cantilever Beam Using Nonlinear Modal Tracking
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    Chapter 8 Using Modal Parameters for Structural Health Monitoring
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    Chapter 9 Current Challenges with BIGDATA Analytics in Structural Health Monitoring
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    Chapter 10 Detection of Cracks in Beams Using Treed Gaussian Processes
Attention for Chapter 4: Damage Detection Based on Strain Transmissibility for Beam Structure by Using Distributed Fiber Optics
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Citations

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Readers on

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16 Mendeley
Summary Dimensions citations
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Chapter title
Damage Detection Based on Strain Transmissibility for Beam Structure by Using Distributed Fiber Optics
Chapter number 4
Book title
Structural Health Monitoring & Damage Detection, Volume 7
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-54109-9_4
Book ISBNs
978-3-31-954108-2, 978-3-31-954109-9
Authors

Liangliang Cheng, Giorgio Busca, Paolo Roberto, Marcello Vanali, Alfredo Cigada

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 13%
Student > Ph. D. Student 2 13%
Researcher 2 13%
Student > Doctoral Student 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 8 50%
Readers by discipline Count As %
Engineering 7 44%
Energy 1 6%
Unknown 8 50%

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