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Structural Health Monitoring, Damage Detection

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

Table of Contents

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    Book Overview
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    Chapter 1 Development and Characterization of an ITO Nanocomposite Film Sensor for Damage Detection
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    Chapter 2 Fiber Optic Sensor Arrays for Real-Time Virtual Instrumentation and Control of Flexible Structures
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    Chapter 3 On the Output-Only Vibration-Based Damage Detection of Frame Structures
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    Chapter 4 On the Influence of Sample Length and Measurement Noise on the Stochastic Subspace Damage Detection Technique
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    Chapter 5 Quantification of Structural Damage with Self-Organizing Maps
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    Chapter 6 Accuracy Enhancement of a Device for Automated Underbridge Inspections
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    Chapter 7 A Brief Overview of Mechatronics
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    Chapter 8 Enhanced Vibration Damping by Means of a Negative Capacitance
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    Chapter 9 Vehicle Tracking for Bridge Load Dynamics Using Vision Techniques
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    Chapter 10 Model Based System Testing: Bringing Testing and Simulation Close Together
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    Chapter 11 Time-Varying System Identification Using a Hybrid Blind Source Separation Method
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    Chapter 12 An Energy Measure for Mode Localization
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    Chapter 13 Vibration Control on a Space Flexible Structure with a PZT Stack Actuator Using Strain and MPPF Control
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    Chapter 14 Multi-Reference Time-Frequency Active Control of Vehicle Interior Road Noise
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    Chapter 15 Wireless Monitoring of the Dynamic Behavior of Railway Catenary Systems
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    Chapter 16 Functional Series TARMA Models for Non-stationary Tool Vibration Signals Representation and Wear Estimation
Attention for Chapter 5: Quantification of Structural Damage with Self-Organizing Maps
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Chapter title
Quantification of Structural Damage with Self-Organizing Maps
Chapter number 5
Book title
Structural Health Monitoring, Damage Detection & Mechatronics, Volume 7
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-29956-3_5
Book ISBNs
978-3-31-929955-6, 978-3-31-929956-3
Authors

Osama Abdeljaber, Onur Avci, Ngoan Tien Do, Mustafa Gul, Ozan Celik, F. Necati Catbas, Abdeljaber, Osama, Avci, Onur, Do, Ngoan Tien, Gul, Mustafa, Celik, Ozan, Catbas, F. Necati

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 19%
Student > Master 3 14%
Researcher 2 10%
Professor > Associate Professor 2 10%
Unspecified 1 5%
Other 3 14%
Unknown 6 29%
Readers by discipline Count As %
Engineering 12 57%
Unspecified 1 5%
Design 1 5%
Unknown 7 33%