Online fatigue damage monitoring by ultrasonic measurements: A symbolic dynamics approach

International Journal of Fatigue

Volumn 29, Issue 6, 2007, Pages 1100-1114

  Gupta, Shalabh ^a   Ray, Asok ^a   Keller, Eric ^a  

^a The Center for Nanotechnology Education and Utilization   (United States)

Author keywords

Anomaly detection; Fatigue damage; Symbolic time series analysis

Indexed keywords

FATIGUE OF MATERIALS; INFORMATION THEORY; PATTERN RECOGNITION; POLYCRYSTALLINE MATERIALS; TIME SERIES ANALYSIS; ULTRASONIC MEASUREMENT;

ANOMALY DETECTION; ONLINE MONITORING; REAL-TIME FATIGUE DAMAGE; SYMBOLIC TIME SERIES ANALYSIS;

FATIGUE DAMAGE;

EID: 33947211904     PISSN: 01421123     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijfatigue.2006.09.011     Document Type: Article

References (47)

1. Ozekici S. Reliability and maintenance of complex systems, vol. 154, NATO Advanced Science Institutes (ASI) Series F: Computer and Systems Sciences, Berlin, Germany, 1996.
2. Meggiolaro M., and Castro J. Statistical evaluation of strain-life fatigue crack initiation predictions. Int J Fatigue 26 (2004) 463-476
3. Ishihara S., and McEvily A. Analysis of short fatigue crack growth in cast aluminium alloys. Int J Fatigue 24 (2002) 1169-1174
4. Bjerkén C., and Melin S. A tool to model short crack fatigue growth using a discrete dislocation formulation. Int J Fatigue 25 (2003) 559-566
5. Ramsamooj D. Analytical prediction of short to long fatigue crack growth rate using small- and large-scale yielding fracture mechanics. Int J Fatigue 25 (2003) 923-933
6. Pathria R. Statistical mechanics (1996), Elsevier Science and Technology Books
7. Sobczyk K., and Spencer B. Random fatigue: Data to theory (1992), Academic Press, Boston, MA
8. Ott E. Chaos in dynamical systems (1993), Cambridge University Press
9. Keller E., and Ray A. Real time health monitoring of mechanical structures. Struct Health Monitor 2 3 (2003) 191-203
10. Grondel S., Delebarre C., Assaad J., Dupuis J., and Reithler L. Fatigue crack monitoring of riveted aluminium strap joints by lamb wave analysis and acoustic emission measurement techniques. NDT & E Int 35 (2002) 137-146
11. Cook D., and Berthelot Y. Detection of small surface-breaking fatigue cracks in steel using scattering of rayleigh waves. NDT & E Int 34 (2001) 483-492
12. Zilberstein V., Walrath K., Grundy D., Schlicker D., Goldfine N., Abramovici E., et al. Mwm eddy-current arrays for crack initiation and growth monitoring. Int J Fatigue 25 (2003) 1147-1155
13. Witney A., Li Y.F., Wang J., Wang M.Z., DeLuccia J.J., and Laird C. Electrochemical fatigue sensor response to Ti-6 wt.% Al-4 wt.% v and 4130 steel. Philos Mag 84 3-5 (2004) 331-349
14. Yang B., Liaw P.K., Wang G., Peter W.H., Buchanan R., Yokoyama Y., et al. Thermal-imaging technologies for detecting damage during high-cycle fatigue. Metall Mater Trans A 35A (2004) 15-24
15. Baram J. Fatigue-life prediction by an order statistics treatment of acoustic-emission signals. Exp Mech 33 (1993) 189-194
16. Harris D.O., and Dunegan H.L. Continuous monitoring of fatigue-crack growth by acoustic-emission techniques. Exp Mech 14 (1974) 71-80
17. Lee K.Y. Cyclic ae count rate and crack growth rate under low cycle fatigue fracture loading. Eng Fracture Mech 34 5/6 (1989) 1069-1073
18. Lysak M.V. Development of the theory of acoustic emission by propagating cracks in terms of fracture mechanics. Eng Fracture Mech 55 3 (1996) 443-452
19. Scala M., and Cousland S.M. Acoustic emission during fatigue crack propagation in the aluminium alloys 2024 and 2124. Mater Sci Eng 61 (1983) 211-218
20. Zilberstein V., Grundy D., Weiss V., Goldfine N., Abramovici E., Newman J., et al. Early detection and monitoring of fatigue in high strength steels with mwm-arrays. Int J Fatigue 27 (2005) 1644-1652
21. Bai H.S., Yu L.Y., and He (Ho) J.W. A monitoring system for contact fatigue crack testing. NDT Int 22 3 (1989) 162-167
22. Yusa N., Janousek L., Rebican M., Chen Z., Miya K., Chigusa N., et al. Detection of embedded fatigue cracks in inconel weld overlay and the evaluation of the minimum thickness of the weld overlay using eddy current testing. Nucl Eng Des 236 18 (2006) 1852-1859
23. Anson L., Chivers R., and Puttick K. On the feasibility of detecting pre-cracking fatigue damage in metal matrix composites by ultrasonic techniques. Compos Sci Technol 55 (1995) 63-73
24. Vanlanduit S., Guillaume P., and Linden G. Online monitoring of fatigue cracks using ultrasonic surface waves. NDT & E Int 36 (2003) 601-607
25. Rokhlin S., and Kim J.Y. In situ ultrasonic monitoring of surface fatigue crack initiation and growth from surface cavity. Int J Fatigue 25 (2003) 41-49
26. Kenderian S., Berndt T., Green R., and Djordjevic B. Ultrasonic monitoring of dislocations during fatigue of pearlitic rail steel. Mater Sci Eng 348 (2003) 90-99
27. Daw C., Finney C., and Tracy E. A review of symbolic analysis of experimental data. Rev Sci Instrum 74 2 (2003) 915-930
28. Ray A. Symbolic dynamic analysis of complex systems for anomaly detection. Signal Process 84 7 (2004) 1115-1130
29. Chin S., Ray A., and Rajagopalan V. Symbolic time series analysis for anomaly detection: A comparative evaluation. Signal Process 85 9 (2005) 1859-1868
30. Gupta S, Ray A, Keller E. Symbolic time series analysis of ultrasonic data for early detection of fatigue damage. Mech Syst Signal Process. Available from: www.ScienceDirect.com, in press.
31. Rajagopalan V., and Ray A. Symbolic time series analysis via wavelet-based partitioning. Signal Process 86 1 (2006) 3309-3320
32. Lind D., and Marcus M. An introduction to symbolic dynamics and coding (1995), Cambridge University Press, United Kingdom
33. Badii R., and Politi A. Complexity hierarchical structures and scaling in physics (1997), Cambridge University Press, United Kingdom
34. Hopcroft H., Motwani R., and Ullman J. Introduction to automata theory, languages, and computation. 2nd ed. (2001), Addison Wesley, Boston
35. Abarbanel H. The analysis of observed chaotic data (1996), Springer-Verlag, New York
36. Davidchack R., Lai Y., Bolt E., and Dhamala H. Estimating generating partitions of chaotic systems by unstable periodic orbits. Phys Rev E 61 (2000) 1353-1356
37. Kennel M., and Buhl M. Estimating good discrete partitions form observed data: Symbolic false nearest neighbors. Phys Rev E 91 8 (2003) 084-102
38. Mallat S. A wavelet tour of signal processing 2/e (1998), Academic Press
39. Cover T.M., and Thomas J.A. Elements of information theory (1991), John Wiley, New York
40. Naylor A.W., and Sell G.R. Linear operator theory in engineering and science (1982), Springer-Verlag, New York
41. Keller EE, Real time sensing of fatigue crack damage for information-based decision and control. PhD thesis, 2001, Department of Mechanical Engineering, Pennsylvania State University, State College, PA.
42. Nagy P. Fatigue damage assessment by nonlinear ultrasonic materials characterization. Ultrasonics 36 (1998) 375-381
43. Cantrell J., and Yost W. Nonlinear ultrasonic characterization of fatigue microstructures. Int J Fatigue 23 (2001) 487-490
44. Rose J. Ultrasonic waves in solid media (2004), Cambridge University Press
45. Suresh S. Fatigue of materials (1998), Cambridge University Press, Cambridge, UK
46. Toolbox Wavelets, MATLAB. Mathworks Inc.
47. Berkovits A., and Fang D. Study of fatigue crack characteristics by acoustic emission. Eng Fracture Mech 51 3 (1995) 401-416