Combination of a time reversal process and a consecutive outlier analysis for baseline-free damage diagnosis (Journal of Intelligent Material Systems and Structures (2006) 18:4 DOI: 10.1177/1045389X0606629);Combination of a time reversal process and a consecutiv outlier analysis for baseline-free damage diagnosis

Journal of Intelligent Material Systems and Structures

Volumn 18, Issue 4, 2007, Pages 335-346

  Sohn, Hoon ^a   Park, Hyun Woo ^b   Law, Kincho H ^c   Farrar, Charles R ^d  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b Building no 35 506   (South Korea)

^c Stanford University   (United States)

^d LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

Composites; Consecutive outlier analysis; Damage detection; Delamination; Generalized extreme value distribution; Time reversal acoustics

Indexed keywords

DELAMINATION; ENVIRONMENTAL IMPACT; ONLINE SYSTEMS; PATTERN RECOGNITION; STATISTICAL METHODS; STRUCTURAL HEALTH MONITORING; STRUCTURES (BUILT OBJECTS);

CONSECUTIVE OUTLIER ANALYSIS; ENVIRONMENTAL CONDITIONS; GENERALIZED EXTREME VALUE DISTRIBUTION; TIME REVERSAL ACOUSTICS;

DAMAGE DETECTION;

EID: 33947236390     PISSN: 1045389X     EISSN: 15308138     Source Type: Journal    
DOI: 10.1177/1045389X08099058     Document Type: Erratum

References (40)

1. Barnett, V. and Lewis, T. 1994. Outliers in Statistical Data, John Wiley Sons, Chichester, UK.
2. Benjamin, J.R. and Cornell, C.A. 1970. Probability, Statistics and Decision for Civil Engineers, McGraw-Hill Inc., New York, NY.
3. Bishop, C.M. 1995. Neural Networks for Pattern Recognition, Oxford University Press, Oxford, UK.
4. Castillo, E. 1988. Extreme Value Theory in Engineering, Academic Press Series in Statistical Modeling and Decision Science, San Diego, CA.
5. Chang, P.C. and Liu, S.C. 2003. '' Recent Research in Nondestructive Evaluation of Civil Infrastructures, '' Journal of Materials in Civil Engineering, 15 (3). 298 304.
6. Chang, P.C., Flatau, A. and Liu, S.C. 2003. '' Review Paper: Health Monitoring of Civil Infrastructure, '' An International Journal of Structural Health Monitoring, 2 (3). 257 267.
7. 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 and Vibration Digest, 30 (2). 91 105.
8. Doherty, J.E. 1987. '' Nondestructive Evaluation, '' In: Handbook on Experimental Mechanics, Kobayashi, A.S. (ed.), Society for Experimental Mechanics, Inc., Chapter 12, Bethel, CT.
9. Draeger, C., Cassereau, D. and Fink, M. 1997. '' Theory of the Time-reversal Process in Solids, '' J. Acoust. Soc. Am., 102 (3). 1289 1295.
10. Fink, M. 1999. '' Time-Reversed Acoustics, '' Scientific American, 281 (5). 91 97.
11. Fink, M. and Prada, C. 2001. '' Acoustic Time-reversal Mirrors, '' Inverse Problems, 17: R1 R38.
12. Fisher, R.A. and Tippett, L.H.C. 1928. '' Limiting Forms of the Frequency Distributions of the Largest or Smallest Members of a Sample, '' In: Proceedings of the Cambridge Philosophical Society, 24:180190.
13. Giurgiutiu, V. and Lyshevski, S.E. 2004. Micromechatronics: Modeling, Analysis, and Design with MATLAB, CRC Press, Inc., Boca Raton, FL.
14. Hellier, C.J. 2001. Handbook of Non-Destructive Evaluation, McGraw-Hill, New York.
15. Ing, R.K. and Fink, M. 1996. '' Time Recompression of Dispersive Lamb Waves using a Time Reversal Mirror Application to Flaw Detection in Thin Plates, '' In: Proceedings of 1996 IEEE Ultrasonics Symposium, Vol. 1, pp. 659663.
16. Ing, R.K. and Fink, M. 1998. '' Time-Reversed Lamb Waves,'' IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 45: 1032 1043.
17. Jain, R.B. and Pingel, L.A. 1981. '' A Procedure for Estimating the Number of Outliers,'' Commun. Statist. Theor. Meth., 10: 1029 1041.
18. Jenkinson, A.F. 1955. '' The Frequency Distribution of the Annual Maximum (or Minimum) of Meteorological Elements,'' Quarterly Journal of the Royal Meteorological Society, 81: 158 171.
19. Kale, B.K. 1976. '' Detection of Outliers, '' Sankhy B, 38: 356 363.
20. Lewis, T. and Fieller, N.R.J. 1979. '' A Recursive Algorithm for Null Distributions for Outliers: I. Gamma Samples, '' Technometrics, 21: 371 376.
21. Luenberger, D.G. 1989. Linear and Nonlinear Programming, 2 nd edn, Kluwer Academic Publishers, Norwell, MA.
22. Park, H.W. and Sohn, H. 2006. '' Parameter Estimation of the Generalized Extreme Value Distribution for Structural Health Monitoring, '' Journal of Probabilistic Engineering Mechanics (in press).
23. Park, H.W., Sohn, H., Law, K.H. and Farrar, C.R. 2005. '' Time Reversal Active Sensing for Health Monitoring of a Composite Plate, '' (submitted for publication in Journal of Sound and Vibration ).
24. Piezo Systems, Inc. 2006. http://www.piezo.com/ prodsheetlsq5A.html
25. Popovics, J. 2004. '' Non-destructive Evaluation for Civil Engineering Structures and Materials,'' Review of Quantitative Nondestructive Evaluation, 23: 32 39.
26. Sohn, H. 2006. '' Effects of Environmental and Operational Variability on Structural Health Monitoring, '' A Special Issue of Philosophical Transactions of the Royal Society on Structural Health Monitoring (in print).
27. Sohn, H., Farrar, C.R., Hunter, N.F. and Worden, K. 2001. '' Structural Health Monitoring using Statistical Pattern Recognition Techniques,'' ASME Journal of Dynamic Systems, Measurement and Control: Special Issue on Identification of Mechanical Systems, 123 (4). 706 711.
28. Sohn, H., Park, G., Wait, J.R., Limback, N.P. and Farrar, C.R. 2003. '' Wavelet-based Active Sensing for Delamination Detection in Composite Structures, '' Smart Materials and Structures, 13 (1). 153 160.
29. Sohn, H., Farrar, C.R., Hemez, F.M., Czarnecki, J.J., Shunk, D.D., Stinemates, D.W. and Nadler, B.R. 2004 a. '' A Review of Structural Health Monitoring Literature: 19962001, '' Los Alamos National Laboratory Report LA-13976-MS, Los Alamos, NM.
30. Sohn, H., Park, H.W., Law, K.H., and Farrar, C.R. 2004 b. '' Damage Detection in Composite Plates by using an Enhanced Time Reversal Method, '' (accepted for publication in Journal of Aerospace Engineering ).
31. Sohn, H., Allen, D.W., Worden, K. and Farrar, C.R. 2005. '' Structural Damage Classification using Extreme Value Statistics, '' ASME Journal of Dynamic Systems, Measurement, and Control, 127 (1). 125 132.
32. Sun, F.P., Chaudhry, Z., Liang, C. and Rogers, C.A. 1995. '' Truss Structure Integrity Identification using PZT Sensor-Actuator, '' Journal of Intelligent Material Systems and Structures, 6: 134 139.
33. Tarassenko, L., Nairac, A., Townsend, N., Buxton, I. and Cowley, Z. 2002. ''Novelty Detection for the Identification of Abnormalities,'' International Journal of Systems Science, 31 (11). 1427 1439.
34. Tietjen, G.L. and Moore, R.H. 1972. '' Some Grubbs-type Statistics for the Detection of Several Outliers, '' Technometrics, 14: 583 597.
35. Tiku, M.L. 1975. '' A New Statistics for Testing Suspected Outliers,'' Commun. Statist. A., 4: 737 752.
36. Van der Auweraer, H. and Peeters, B. 2003. '' International Research Projects on Structural Health Monitoring: An Overview, '' An International Journal of Structural Health Monitoring, 2 (4). 341 358.
37. Viktorov, I.A. 1967. Rayleigh and Lamb Waves, Plenum Press, New York.
38. Wang, C.H., Rose, J.T. and Chang, F.K. 2003. '' A Computerized Time-reversal Method for Structural Health Monitoring, '' In: Proceedings of SPIE Conference on Smart Structures and NDE, San Diego, CA, USA.
39. Worden, K., Manson, G. and Fieller, N.J. 2000. '' Damage Detection using Outlier Analysis, '' Journal of Sound and Vibration, 229: 647 667.
40. Williams, R.B., Grimsley, B.W., Inman, D.J. and Wilkie, W.K. 2002. '' Manufacturing and Mechanics-based Characterization of Macro Fiber Composite Actuators, '' American Society of Mechanical Engineers, Aerospace Division, 67: 79 89.