Introduction to the use of wavelet multiresolution analysis for intelligent structural health monitoring

Canadian Journal of Civil Engineering

Volumn 31, Issue 5, 2004, Pages 719-731

  Reda Taha, M M ^a   Noureldin, A ^b   Osman, A ^c   El Sheimy, N ^c  

^a University of New Mexico   (United States)

^b ROYAL MILITARY COLLEGE OF CANADA   (Canada)

^c UNIVERSITY OF CALGARY   (Canada)

Author keywords

Damage detection; Neural networks; Signal processing; Structural health monitoring; Wavelet analysis

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DIGITAL SIGNAL PROCESSING; FINITE ELEMENT METHOD; NEURAL NETWORKS; WAVELET TRANSFORMS;

STRUCTURAL HEALTH MONITORING (SHM); SYSTEM DYNAMICS; WAVELET MULTIRESOLUTION ANALYSIS (WMRA); WAVELET NORM INDEX (WNI);

HEALTH CARE;

STRUCTURAL INTEGRITY;

EID: 10944272024     PISSN: 03151468     EISSN: None     Source Type: Journal    
DOI: 10.1139/L04-022     Document Type: Article

References (45)

1. Alarcon-Aquino, V., and Barria, J.A. 2001. Anomaly detection in communication networks using wavelets. IEEE Proceedings on Communications, 148(6): 355-362.
2. ASCE. 2001. 2001 Report card for America's infrastructure [online]. American Society of Civil Engineers, New York. Available from www.asce.org/reportcard [cited 25 August 2004].
3. ASCE. 2003. 2003 Progress report: an update to the 2001 report card for America's infrastructure [online]. American Society of Civil Engineers, New York. Available from www.asce.org/reportcard [cited 25 August 2004].
4. Barai, S.V., and Pandey, P.C. 1995. Vibration signature analysis using artificial neural networks. ASCE Journal of Computing in Civil Engineering, 9(4): 259-265.
5. Boltežar, M., Simonovski, I., and Furlan, M. 2003. Fault detection in DC electro motors using the continuous wavelet transform. Meccanica, 38(2): 251-264.
6. Browne, M., Dorn, M., Ouellette, R., Christaller, T., and Shiry, S. 2002. Wavelet entropy-based feature extraction for crack detection in sewer pipes. In Proceedings of the 6th International Conference on Mechatronics Technology (ICMT 2002), Kitakyushu, Japan, 29 Sept. - 3 Oct. 2002. pp. 202-206.
7. Burrus, C.S., Gopinath, R.A., and Guo, H. 1997. Introduction to wavelets and wavelet transforms. 1st ed. Prentice Hall Inc., Englewood Cliffs, N.J.
8. Chui, C.K. 1992. Wavelets: a tutorial in theory and application. Academic Press, New York.
9. Cody, M.A. 1992. The fast wavelet transform. Dr. Dobb's Journal, April 1992, pp. 16-28.
10. Corbin, M., Hera, A., and Hou, Z. 2000. Locating damages using wavelet approach. In Proceedings of the 14th ASCE Engineering Mechanics Conference (EM2000), Austin, Tex., 21-24 May 2000. Edited by J.L. Tassoulas. American Society of Civil Engineers, New York. CD-ROM.
11. Daubechies, I. 1998. Orthogonal bases of compactly supported wavelets. Communications in Pure Applied Math, 41(7): 909-996.
12. Doebling, S.W., Farrar, C.R., and Prime, M.B. 1998. A summary review of vibration-based damage identification methods. The Shock and Vibration Digest, 30(2): 91-105.
13. Douka, E., Loutridis, S., and Trochidis, A. 2003. Crack identification in beams using wavelet analysis. International Journal of Solids and Structures, 40(13-14): 3557-3569.
14. El-Sheimy, N., Kinawi, H., and Reda Taha, M.M. 2003. Structural monitoring using "wirelessly" connected MEMS-based sensors: towards system development. In Proceedings of the International Conference on Performance of Construction Materials in the New Millennium (ICPCM), Cairo, Egypt, Feb. 2003. Edited by A.S. El-Dieb, M.M. Reda Taha, and S.L. Lissel. Vol. 1, pp. 439-448.
15. Farrar, C.R., and Jauregui, D.A. 1998. Comparative study of damage identification algorithms applied to bridge. Smart Materials and Structures, 7(5): 704-719.
16. Gaouda, A.M., Kanoun, S.H., Salama, M.M.A., and Chikhani, A.Y. 2002. Wavelet-based signal processing for disturbance classification and measurement. IEEE Proceedings: Generation, Transmission and Distribution, 149(3): 310-318.
17. Gentile, C. 2003. Dynamic performance of a P.C. bridge: computation and tests. In Proceedings of the International Conference on Performance of Construction Materials in the New Millennium (ICPCM), Cairo, Egypt, Feb. 2003. Edited by A.S. El-Dieb, M.M. Reda Taha, and S.L. Lissel. Vol. 1, pp. 449-458.
18. Giurgiutiu, V., Cuc, A., and Goodman, P. 2001. Review of vibration-based helicopters health and usage monitoring methods. In Proceedings of the 55th Meeting of the Society for Machinery Failure Prevention Technology, 2001, Virginia Beach, Va., 2-5 April 2001.
19. Gonzalez, R.C., and Woods, R.E. 2002. Digital image processing. 2nd ed. Prentice Hall Inc., Englewood Cliffs, N.J.
20. Haykin, S. 1999. Neural networks: a comprehensive foundation. Prentice Hall Inc., Englewood Cliffs, N.J.
21. Hong, J.-C., Kim, Y.Y., Lee, H.C., and Lee, Y.W. 2002. Damage detection using the Lipschitz exponent estimated by the wavelet transform: applications to vibration modes of a beam. International Journal of Solids and Structures, 39(7): 1803-1816.
22. Hou, Z., and Hera, A. 2002. Progress of phase II study of the ASCE health monitoring benchmark data using wavelet approach. In Proceedings of the 15th ASCE Engineering Mechanics Conference, Columbia University, New York, 2-5 June 2002. American Society of Civil Engineers, New York.
23. Humar, J. 2002. Dynamics of structures. 2nd ed. A.A. Balkema Publishers, Rotterdam, The Netherlands.
24. Jang, J.-S.R., Sun, C.-T., and Mizutani, E. 1997. Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence. Prentice Hall Inc., Englewood Cliffs, N.J.
25. Kaiser, G. 1994. A friendly guide to wavelets. Birkhäuser Inc., Boston, Mass.
26. Kim, J., and Ewins, D.J. 1999. Monitoring transient vibration in rotating machinery using wavelet analysis. In Proceedings of the 2nd International Workshop on Structural Health Monitoring, Stanford University, Stanford, Calif., 8-10 Sept. 1999. Edited by F.-K. Chang. CRC Press, Boca Raton, Fla. pp. 287-297.
27. Kim, J.-T., Ryu, Y.-S., Choi, H.-M., and Stubbs, N. 2003. Damage identification in beam-type structures: frequency-based method vs. mode-shape-based method. Engineering Structures, 25: 57-67.
28. Mallat, S.G. 1989. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(7): 674-693.
29. Melhem, H., and Kim, H. 2003. Damage detection in concrete by Fourier and wavelet analyses. Journal of Engineering Mechanics, 129(5): 571-577.
30. Mufti, A. 2001. Guidelines for structural health monitoring. ISIS Canada Design Manual No. 2. ISIS Canada, Winnipeg, Man.
31. Ogden, R.T. 1997. Essential wavelets for statistical applications and data analysis. Birkhäuser Inc., Boston, Mass.
32. Paget, C., Grondel, S., Levin, K., and Delebarre, C. 2003. Damage assessment in composites by Lamb waves and wavelet coefficients. Smart Materials and Structures, 12: 392-402.
33. Park, S., Stubbs, N., and Bolton, R.W. 1998. Damage detection on a steel frame using simulated modal data. In Proceedings of the 16th International Modal Analysis Conference, Santa Barbara, Calif., 2-5 Feb. 1998. Edited by A.L. Wicks and D.J. DeMichele. Proceedings of SPIE (International Society for Optical Engineering), Vol. 3243, pp. 612-622.
34. Patsias, S., and Staszewski, W.J. 2002. Damage detection using optical measurements and wavelets. Structural Health Monitoring, 1(1): 5-22.
35. Pittner, S., and Kamarthi, S.V. 1999. Feature extraction from wavelet coefficients for pattern recognition tasks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 21(1): 83-88.
36. Pothisiri, T., and Hjelmstad, K.D. 2003. Structural damage detection and assessment from modal response. ASCE Journal of Engineering Mechanics, 129(2): 135-145.
37. Purani, V.S., and Patodi, S.C. 2002. Neuro solution for damage detection and categorization of earthquake-affected buildings. The Indian Concrete Journal, 8: 504-509.
38. Reda Taha, M.M., Noureldin, A., and El-Sheimy, N. 2004. Establishing fuzzy confidence limits for structural health monitoring using wavelet analysis. In Proceedings of the 2nd International Conference on Structural Engineering, Mechanics and Computation (SEMC 2004), Cape Town, South Africa, 5-7 July 2004.
39. Ren, W.-X., and De Roeck, G. 2002. Structural damage identification using modal data. I: simulation verification. ASCE Journal of Structural Engineering, 128(1): 87-95.
40. Robertson, D.C., Camps, O.I., Mayer, J.S., and Gish, W.B. 1996. Wavelets and electromagnetic power system transients. IEEE Transactions on Power Delivery, 11(2): 1050-1056.
41. Schwarz, B.J., McHargue, P.L., and Richardson, M.H. 1996. Using SDM to train neural networks for solving modal sensitivity problems. In Proceedings of the 14th International Modal Analysis Conference, Dearborn, Mich., 12-15 Feb. 1996. Edited by A.L. Hicks. Society for Experimental Mechanics, Bethel, Conn. Vol. 2, pp. 1285-1291.
42. Strang, G., and Nguyen, T. 1997. Wavelet and filter banks. Wellesley-Cambridge Press, New York.
43. Sun, Z., and Chang, C.-C. 2002. Structural damage assessment based on wavelet packet transform. ASCE Journal of Structural Engineering, 128 10): 1354-1361.
44. Tsai, C.-H., and Hsu, D.-S. 2002. Diagnosis of reinforced concrete structural damage based on displacement time history using the back-propagation neural network technique. ASCE Journal of Computing in Civil Engineering, 16(1): 49-58.
45. Yoon, D.-J., Weiss, W.J., and Shah, S.P. 2000. Assessing damage in corroded reinforced concrete using acoustic emission. Journal of Engineering Mechanics, 12(3): 273-283.