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
Your Session has timed out. Please sign back in to continue.


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.
Worden,  K., 1997, “Structural Fault Detection Using a Novelty Measure,” J. Sound Vib., 201, pp. 85–101.
Worden,  K., Manson,  G., and Fieller,  N. J., 2000, “Damage Detection Using Outlier Analysis,” J. Sound Vib., 229, pp. 647–667.
Fugate,  M. L., Sohn,  H., and Farrar,  C. R., 2001, “Vibration-Based Damage Detection Using Statistical Process Control,” Mech. Syst. Signal Process., 15, No. 4, pp. 707–721.
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.
Johnson, G. A., Pran, K., Sagvolden, G., Farsund, O̸., Havsgård, G. B. Wang, G., Jensen A. E., and Taby J., 2000, “Surface Effect Ship Vibro-Impact Monitoring With Distributed Arrays of Fiber Bragg Gratings,” Proceedings of the 18th International Modal Analysis, San Antonio, TX, pp. 1406–1411.
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.
Box, G. E., Jenkins, G. M., and Reinsel, G. C., 1994, Time Series Analysis: Forecasting and Control, Prentice-Hall, New Jersey.
Brockwell, P. J., and Davis, R. A., 1991, Time Series: Theory and Methods, Springer, New York.
Ljung, L., 1987, System Identification: Theory for the User, Prentice Hall, New Jersey.
Box, G. E. P., and Andersen, S. L., 1995, “Permutation Theory in the Derivation of Robust Criteria and the Study of Departures From Assumption,” Journal of the Royal Statistical Society, Series B17, pp. 1–26.
Miller, R. G., 1997, Beyond ANOVA: Basics of Applied Statistics, Chapman&Hall/CRC, New York.
Barnett, V., and Lewis, T., 1994, Outliers in Statistical Data, Third Edition, Wiley, Chichester, UK.
Bishop, C. M., 1995, Neural Networks for Pattern Recognition, Oxford University Press, Oxford, UK.
Tarassenko, L., Hayton, P., Cerneaz, Z., and Brady, M., 1995, “Novelty Detection for the Identification of Masses in Mammograms,” Proceedings of 4th IEEE International Conference on Artificial Neural Networks, Cambridge, UK, IEEE Conference Publication No. 409, pp. 442–447.
Pomerleau, D. A., 1993, “Input Reconstruction Reliability Estimation,” Advances in Neural Information Processing Systems 5, S. J. Hanson, J. D. Cowan, and C. L. Giles, eds., Morgan Kaufman Publishers, San Mateo, CA.
Oppenheim, A. V., and Willsky, S. H., 1996, Signals & Systems, Prentice Hall, New Jersey.


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




Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In