An overview of signal-based damage detection methods

Applied Mechanics and Materials

Volumn 94-96, Issue , 2011, Pages 834-851

  Qiao, Long ^a   Esmaeily, Asad ^b  

^a MISSOURI WESTERN STATE UNIVERSITY   (United States)

^b Sunflower Networking Group   (United States)

Author keywords

Feature extraction; Pattern recognition; Signal based damage detection

Indexed keywords

DETECTION METHODS; DOMAIN METHODS; FEATURE EXTRACTION AND SELECTION; FREQUENCY-DOMAIN METHODS; NONLINEAR BEHAVIOR; PATTERN RECOGNITION TECHNIQUES; PROCESSING METHOD; SIGNAL PROCESSING TECHNIQUE; SIGNAL-BASED DAMAGE DETECTION; STRUCTURAL RESPONSE; TIME FREQUENCY; TIME HISTORY; TIME-DOMAIN METHODS; TIME-SCALES;

CIVIL ENGINEERING; CRACK DETECTION; DAMAGE DETECTION; FEATURE EXTRACTION; FREQUENCY DOMAIN ANALYSIS; PROCESSING; SIGNAL DETECTION; STRUCTURAL HEALTH MONITORING;

TIME DOMAIN ANALYSIS;

EID: 80053295491     PISSN: 16609336     EISSN: 16627482     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMM.94-96.834     Document Type: Conference Paper

References (57)

1. P.C. Chang and S.C. Liu: Recent Research in Nondestructive Evaluation of Civil Infrastructures, Journal of Materials in Civil Engineering, ASCE, Vol. 15, No.3 (2003), p. 298.
2. P.J. Barr, B. Woodward, B. Najera and M.N. Amin: Long-Term Structural Health Monitoring of the San Ysidro Bridge, Journal of Performance of Constructed Facilities, ASCE, Vol. 20, No.1 (2006), p. 14.
3. G. Cardinale, G. and M. Orlando: Structural Evaluation and Strengthening of a Reinforced Concrete Bridge, Journal of Bridge Engineering, ASCE, Vol. 9, No. 1 (2004), p. 35.
4. S.W. Doebling, C.R. Farrar, M.B. Prime. And D.W. Shevitz: Damage Identification and Health Monitoring of Structural and Mechanical Systems from Change in Their Vibration Characteristics: A Literature Review. Report, LA-13070-MS, US-900: Los Alamos National Laboratory, NM (1996).
5. H. Sohn, C.R. Farrar, F.M. Hemez, D.D. Shunk, D.W. Stinemates and B.R. Nadler: A Review of Structural Health Monitoring Literature: 1996-2001. Report, LA-13976-MS: Los Alamos National Laboratory, NM (2003).
6. J.B. Kosmatka and J.M. Ricles: Damage Detection in Structures by Modal Vibration Characterization, Journal of Structural Engineering, Vol. 125, No.12 (1999), p. 1384.
7. W.X. Ren and G.D. Roeck: Structural Damage Identification Using Modal Data. I: Simulation Verification, Journal of Structural Engineering, Vol. 128, No.1 (2002), p. 87.
8. Z.Y. Shi, S.S Law and L.M. Zhang: Structural Damage Detection from Modal Strain Energy Change, Journal of Engineering Mechanics, ASCE, Vol. 126, No.12 (2000), p. 1216.
9. J.T. Kim, Y.S. Ryu, H.M. Cho and N. Stubbs: Damage Identification in Beam-Type Structures: Frequency-Based Method vs Mode-Shape-Based Mehod, Enginering Structures, Vol. 25 (2003), p. 57.
10. W.J. Staszewski: Identification of Non-Linear System Using Multi-Scale Ridges and Skeletons of the Wavelet Transform, Journal of Sound and Vibration, Vol. 214, No.4 (1998), p. 639.
11. T. Kijewski and A. Kareem: Wavelet Transforms for System Identification in Civil Engineering, Computer-Aided Civil and Infrastructure Engineering, Vol. 18 (2003), p. 339.
12. J.N Yang, Y. Lei, S. Lin and N. Huang: Hilbert-Huang Based Aproach for Structural Damage Detection, Journal of Engineering Mechanics, Vol. 130, No.1 (2004), p. 85.
13. C.S. Huang, S.L. Huang, C.I. Lin and W.C. Su: A Wavelet-Based Approach to Identifying Structural Modal Parameters From Seismic Response and Free Vibration Data, Computer-Aided Civil and Infrastructure Engineering, Vol. 20 (2005), p. 408.
14. Z. Hou, A. Hera and A. Shinde: Wavelet-Based Structural Health Monitoring of Earthquake Excited Structures, Computer-Aided Civil and Infrastructure Engineering, Vol. 21 (2006), p. 268.
15. H.G. Chen, Y.J. Yan and J.S. Jiang: Vibration-Based Damage Detection of Composite Wingbox Structures Using Improved Hilbert-Huang Transform, Key Engineering Materials, Vols. 324-325 (2006), p. 539.
16. B. Yan and A. Miyamoto: A Comparative Study of Modal Parameter Identification Based on Wavelet and Hilbert-Huang Transform, Computer-Aided Civil and Infrastructure Engineering, Vol. 21 (2006), p. 9.
17. H. Adeli and X. Jiang: Dynamic Fussy Wavelet Neural Network Model for Structural System Identification, Journal of Structural Engineering, Vol.132, No.1 (2006), p. 102.
18. C.R. Farrar, S.W. Doebling and D. Nix: Vibration-Based Structural Damage Identification, Philosophical Transactions of Royal Society of London Series A: Mathematical, Physical and Engineering Science, London, Vol. 359 (2001), p. 131.
19. H. Sohn, J.A. Czarnecki and C.R. Farrar: Structural Health Monitoring Using Statistical Process Control, Journal of Structural Engineering, Vol. 126, No.11 (2000), p. 1356.
20. H. Sohn and C.R. Farrar: Damage Diagnosis Using Time-Series Analysis of Vibration Signals, Smart Materials & Structures, Vol. 10, No.3 (2001), p. 446.
21. H. Sohn, K. Worden and C.R. Farrar: Statistical Damage Classification Under Changing Environmental and Operational Conditions, Journal of Intelligent Material Systems and structures, Vol. 13, No.9 (2002), p. 561.
22. J.B. Bodeux and J.C. Golinval: Application of ARMAV Models to the Identification and Damage Detection of Mechanical and Civil Engineering Structures, Smart Materials and Structures, Vol. 10 (2001), p. 479.
23. K.K. Nair, A.S. Kiremidjian and K.H. Law: Time Series-Based Damage Detection and Localization Algorithm with Application to the ASCE Benchmark Structure, Journal of Sound and Vibration, Vol. 291 (2006), p. 349.
24. Y. Liu, A. Li, Q. Fei and Y. Ding: Feature Extraction and Damage Alarming Using Time Series Analysis, Journal of Southeast University, Vol. 23, No.1 (2007), p. 86.
25. H. Tang, J.Z. Cha, Y. Wang and C. Zhang: The Principal of Cepstrum and Its Application in Quantitative Fault Diagnostics of Gears, ASME Design Technical Conference, Miami, FL, De-Vol. 38 (1991), p. 141.
26. S. Kamarthi, and S. Pittner: Fourier and Wavelet Transform for Flank Wear Estimation - A Comparison, Mechanical Systems and Signal Processing, Vol. 11, No.6 (1997), p. 791.
27. J. Lee and S. Kim: Structural Damage Detection in the Frequency Domain Using Neural Networks, Journal of Intelligent Materials Systems and Structures, Vol. 18 (2007), p. 785.
28. T.R. Fasel, H. Sohn, G. Park and C.R. Farrar: Active Sensing Using Impedance-Based ARX Models and Extreme Value Statistics for Damage Detection, Earthquake Engineering and Structural Dynamics, Vol. 34 (2005), p. 763.
29. L. Qiao, A. Esmaeily and H. Melhem: Structural Damage Diagnosis Using Signal Pattern-Recognition intelligent Computing, Proceedings of 15th Annual Workshop of the European Group for Intelligent Computing in Engineering (EG-ICE), Plymouth, UK, July 2-4 (2008).
30. W.J. Staszewski, K. Worden and G.R. Tomlinson: Time-Frequency Analysis in Gearbox Fault Detection Using the Wigner-Ville Distribution and Pattern Recognition, Mechanical Systems and Signal Processing, Vol. 11, No.5 (1997), p. 673.
31. C. Biemans, W.J. Staszewski, C. Boller and G.R. Tomlinson: Crack Detection in Metallic Structures Using Broadband Excitation of Acousto-Ultrasonics, Journal of Intelligent Material Systems and Structures, Vol. 12 (2001), p. 589.
32. Z. Hou, M. Noori and R.S. Amand: Wavelet-Based Approach for Structural Damage Detection, Journal of Engineering Mechanics, Vol. 126, No.7 (2000), p. 677.
33. A. Hera and Z.K. Hou: Application of Wavelet Approach for ASCE Structural Health Monitoring Benchmark Studies, Journal of Engineering Mechanics, Vol. 130, No.1 (2004), p. 96.
34. A.V. Ovanesova and L.E. Suarez: Application of Wavelet Transforms to Damage Detection in Frame Structures, Engineering Structures, Vol. 26 (2004), p. 39.
35. H. Melhem and H. Kim: Damage Detection in Concrete by Fourier and Wavelet Analyses, Journal of Engineering Mechanics, Vol. 129 (2003), p. 571.
36. L. Qiao, A. Esmaeily and H. Melhem: Structural Damage Detection Using Signal Pattern-Recognition, Key Engineering Materials, Vol. 400-402 (2009), p. 465.
37. I.K. Kim and Y.Y. Kim: Damage Size Estimation by the Continuous Wavelet Ridge Analysis of Dispersive Bending Waves in A Beam, Journal of Sound and Vibration, Vol. 287 (2005), p. 707.
38. G.G. Yen and K.C. Lin: Wavelet Packet Feature Extraction for Vibration Monitoring, IEEE Transactions on Industrial Electronics, Vol. 147 (2000), p. 650.
39. Z. Sun and C.C. Chang: Structural Damage Assessment Based on Wavelet Packet Transform, Journal of Structural Engineering, ASCE, Vol. 128, No.10 (2002), p. 1354.
40. Z. Sun and C.C. Chang: Statistical Wavelet-Based Method for Structural Health Monitoring, Journal of Structural Engineering, Vol. 130, No.7 (2004), p. 1055.
41. L.H. Yam, Y.J. Yan and J.S. Jiang: Vibration-Based Damage Detection for Composite Structures Using Wavelet Transform and Neural Network Identification, Composite Structures, Vol. 60 (2003), p. 403.
42. J.G. Han, W.X. Ren and Z.S. Sun: Wavelet Packet Based Damage Identification of Beam Structures, International Journal of Solids and Structures, Vol. 42 (2005), p. 6610.
43. Y.S. Diao, H.J. Li and Y. Wang: A Two-Step Structural Damage Detection Approach Based on Wavelet Packet Analysis and Neural Network, Proceeding of the 5th International Conference on Machine Learning and Cybernetics, August 13-16, Dalian, China (2006).
44. Y.L. Ding, A.Q. Li and T. Liu: A Study on the WPT-Based Structural Damage Alarming of the ASCE Benchmark Experiments, Advances in Structural Engineering, Vol. 11, No.1 (2008), p. 121.
45. W.X. Ren and Z.S. Sun: Structural Damage Identification by Using Wavelet Entropy, Engineering Structures, Vol. 30, No. 10(2008), p. 2840.
46. C.C. Chang and H.T.Y. Yang: A Correlation Between Pulse Diagnosis of Human Body and Health Monitoring of Structures, Earthquake Engineering and Engineering Vibration, Vol. 3, No.1 (2004), p. 117.
47. H. Sohn, C.R. Farrar, N.F. Hunter and K. Worden: Structural Health Monitoring Using Statistical Pattern Recognition Techniques, Journal of Dynamic System, Measurement, and Control, Vol. 123, No. 4 (2001), p. 706.
48. H. Sohn and K.H. Law: A Bayesian Probabilistic Approach for Structure Damage Detection, Earthquake Engineering and Structural Dynamics, Vol. 26 (1997), p. 1259.
49. M.W. Vanik, J.L. Beck and S.K. Au: Bayesian Probabilistic Approach to Structural Health Monitoring, Journal of Engineering Mechanics, ASCE, Vol. 126, No.7 (2000), p. 738.
50. H. Sohn and K.H. Law: Bayesian Probabilistic Damage Detection of A Reinforced-Concrete Bridge Column, Earthquake Engineering and Structural Dynamics, Vol. 29 (2000), p. 1131.
51. J. Ching and J.L. Beck: Bayesian Analysis of the Phase II IASC-ASCE Structural Health Monitoring Experimental Benchmark Data, Journal of Engineering Mechanics, ASCE, Vol. 130, No.10 (2004), p. 1233.
52. J. Ching and J.L. Beck: New Bayesian Model Updating Algorithm Applied to A Structural Health Monitoring Benchmark, Structural Health Monitoring, Vol. 3, No.4 (2004), p. 313.
53. C.C. Chang, T.Y.P. Chang, Y.G. Xu and M.L. Wang: Structural Damage Detection Using an Iterative Neural Network, Journal of Intelligent Material Systems and Structures, Vol. 11 (2000), p. 32.
54. D. Chen and W.J. Wang: Classification of Wavelet Map Patterns Using Multi-Layer Neural Networks for Gear Fault Detection, Mechanical Systems and Signal Processing, Vol. 16, No.4 (2002), p. 695.
55. X. Fang, H. Luo and J. Tang: Structural Damage Detection Using Neural Network with Learning Rate Improvement, Computers and Structures, Vol. 83 (2005), p. 2150.
56. C.A. Jeyasehar and K. Sumangala: Nondestructive Evaluation of Prestressed Concrete Beams Using an Artificial Neural Network Approach, Structural Health Monitoring, Vol. 5, No.4 (2006), p. 313.
57. Z.X. Li and X.M. Yang: Damage Identification for Beams Using ANN Based on Statistical Property of Structural Responses, Computers and Structures, Vol. 86 (2008), p. 64.