Издательский дом СПЕКТР

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

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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