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Adams, Douglas
Health Monitoring of Structural Materials and Components
Methods with Applications

1. Edition - April 2007
112.- Euro
2007. 476 Pages, Hardcover
ISBN-10: 0-470-03313-4
ISBN-13: 978-0-470-03313-5 - John Wiley & Sons


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Sample Chapter

Short description
Providing a clear introduction to the field, progressing from loads identification, to damage sensing and detection, and finally to prognosis, Health Monitoring of Structural Materials and Components: Methods with Applications provides the reader with an integrated approach to the subject using a variety of case studies which build on the foundation information of the text with practical real world explanations.

From the contents
Preface.

Acknowledgments.

1 Introduction.

1.1 Basics of Health Monitoring.

1.2 Commercial Needs for Health Monitoring Technology.

1.3 Defense Needs for Health Monitoring Technology.

1.4 Technical Approach to Health Monitoring.

1.5 Definitions of Common Terminology.

1.6 Comparison of Nondestructive Testing (NDT) and Health Monitoring Techniques.

1.7 Potential Impact of Health Monitoring Technologies.

1.8 Overview of Technical Areas in Health Monitoring.

1.9 Summary.

References.

Problems.

2 Modeling Components.

2.1 Modeling Needs.

2.2 First-Principle Models.

2.3 Data-Driven Models.

2.4 Load Models.

2.5 Summary.

References

Problems.

3 Modeling Damage.

3.1 Static Damage Models.

3.2 Dynamic Models for Damage.

3.3 Failure Models.

3.4 Performance Models.

3.5 Summary.

References.

Problems.

4 Measurements.

4.1 Measurement Needs.

4.2 Data Environment.

4.3 Transducer Attachment Methods.

4.4 Transducers.

4.5 Data Acquisition.

4.6 Summary.

References.

Problems.

5 Data Analysis.

5.1 Data Analysis Needs and Framework.

5.2 Filter Data.

5.3 Estimation of Unmeasured Variables (State Inference).

5.4 Temporal Analysis.

5.5 Transformation of Data.

5.6 Averaging of Data.

5.7 Spatial Data Analysis.

5.8 Feature Extraction.

5.9 Variability Analysis.

5.10 Loads Identification.

5.11 Damage Identification.

5.12 Regression Analysis for Prognosis.

5.13 Combining Measurement and Data Analysis.

5.14 Summary.

References.

Problems.

6 Case Studies: Loads Identification.

6.1 Metallic Thermal Protection System Panel.

6.2 Gas Turbine Engine Wire Harness and Connector.

6.3 Fuselage Rivet Process Monitoring.

6.4 Large Engine Valve Assembly.

6.5 Suspension with Loosening Bolt.

6.6 Sandwich Panel Undergoing Combined Thermo-Acoustic Loading.

6.7 Summary.

References.

Problems.

7 Case Studies: Damage Identification.

7.1 Vibration-Based Methods.

7.2 Wave Propagation-Based Methods.

7.3 Damage Identification Under Load.

7.4 Summary.

References.

Problems.

8 Case Studies: Damage and Performance Prediction (Prognosis).

8.1 S2 Glass Cylinder (Performance Prediction).

8.2 Stability Bar Linkage (Damage Growth Modeling).

8.3 Summary.

References.

Problems.

Appendix A.

Appendix B.

Index.


 
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