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TECHNICAL PAPERS

Structural Health Monitoring Using Statistical Pattern Recognition Techniques

[+] Author and Article Information
Hoon Sohn

Engineering Sciences & Applications Division, Engineering Analysis Group, M/S C926e-mail: sohn@lanl.gov

Charles R. Farrar

Engineering Sciences & Applications Division, Engineering Analysis Group, M/S C946e-mail: farrar@lanl.gov

Norman F. Hunter

Engineering Sciences & Applications Division, Measurement Technology Group, M/S C931   Los Alamos National Laboratory, Los Alamos, NM 87545e-mail: hunter@lanl.gov

Keith Worden

Department of Mechanical Engineering, University of Sheffield, Mappin St. Sheffield S1 3JD, United Kingdome-mail: k.worden@sheffield.ac.uk

J. Dyn. Sys., Meas., Control 123(4), 706-711 (Feb 07, 2001) (6 pages) doi:10.1115/1.1410933 History: Received February 07, 2001
Copyright © 2001 by ASME
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References

Doebling,  S. W., Farrar,  C. R., Prime,  M. B., and Shevitz,  D. W., 1998, “A Review of Damage Identification Methods That Examine Changes in Dynamic Properties,” Shock Vib. Dig., 30, No. 2, pp. 91–105.
Farrar, C. R., Duffey, T. A. Doebling, S. W., Nix, D. A., 2000, “A Statistical Pattern Recognition Paradigm for Vibration-Based Structural Health Monitoring,” Proceedings of the 2nd International Workshop on Structural Health Monitoring, Stanford, CA, pp. 764–773.
Sohn,  H., Czarnecki,  J. J., and Farrar,  C. R., 2001a, “Structural Health Monitoring Using Statistical Process Control,” J. Eng. Mech., 126, No. 11, pp. 1356–1363.
Sohn,  H., and Farrar,  C. F., 2001b, “Damage Diagnosis Using Time Series Analysis of Vibration Signals,” Smart Mater. Struct., 10, pp. 446–451.
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Wang, G. and Pran, K., 2000, “Ship Hull Structure Monitoring Using Fiber Optic Sensors,” Proceedings of European COST F3 Conference on System Identification & Structure Health Monitoring, Universidad Politécnica de Madrid, Spain, Vol. 1, pp. 15–17.
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Sohn,  H., Farrar,  C. R., Hunter,  H. F., and Worden,  K., 2001c, “Applying the LANL Statistical Pattern Recognition Paradigm for Structural Health Monitoring to Data From a Surface-Effect Fast Patrol Boat,” Los Alamos National Laboratory Report, LA-13761-MS.
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Barnett, V., and Lewis, T., 1994, Outliers in Statistical Data, Third Edition, Wiley, Chichester, UK.
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Figures

Grahic Jump Location
A surface-effect fast patrol boat
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The raw strain time series
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Comparison of the measured vs. predicted signals (zoomed)
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Separation of Signal 3 from Signals 1 and 2 using the ARX residual errors
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Outlier statistics for Signals 1-3

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