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"Structural Health Monitoring from Sensing to Processing" ed. by Magd Abdel Wahab, Yun Lai Zhou, Nuno Manuel Mendes Maia

Posted By: exLib
"Structural Health Monitoring from Sensing to Processing" ed. by Magd Abdel Wahab, Yun Lai Zhou, Nuno Manuel Mendes Maia

"Structural Health Monitoring from Sensing to Processing" ed. by Magd Abdel Wahab, Yun Lai Zhou, Nuno Manuel Mendes Maia
ITexLi | 2018 | ISBN: 1789237882 9781789237887 1789237874 9781789237870 1838817131 9781838817138 | 181 pages | PDF | 21 MB

This book aims to illustrate the background and applications of structural health monitoring (SHM) from both sensing and processing approaches. Its main objective is to summarize the advantages and disadvantages of SHM methodologies and their applications, which may provide a new perspective in understanding SHM for readers from diverse engineering fields.

Structural health monitoring (SHM) has attracted more attention during the last few decades in many engineering fields with the main aim of avoiding structural disastrous events. This aim is achieved by using advanced sensing techniques and further data processing. SHM has experienced booming advancements during recent years due to the developments in sensing techniques. The reliable operation of current, sophisticated, man-made structures drives the development of incipient reliable damage diagnosis and assessment.

Contents
1.Failure Assessment of Piezoelectric Actuators and Sensors for Increased Reliability of SHM Systems
2.Structural Health Monitoring by Acoustic Emission Technique
3.Evaluation of Diagnostic Symptoms for Object Condition Diagnosis and Prognosis
4.Application and Challenges of Signal Processing Techniques for Lamb Waves Structural Integrity Evaluation: Part A-Lamb Waves Signals Emitting and Optimization Techniques
5.Application and Challenges of Signal Processing Techniques for Lamb Waves Structural Integrity Evaluation: Part B-Defects Imaging and Recognition Techniques
6.Qualification of PWAS-Based SHM Technology for Space Applications
7.Condition Monitoring of Wind Turbine Structures through Univariate and Multivariate Hypothesis Testing
8.Structural Health Monitoring of Bolted Joints Using Guided Waves: A Review

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