Conference: Publication Date: 24 March 2014Testing Method:

Conference: Publication Date: 24 March 2014Testing Method:

Ultrasonic testing is used to detect and classify flaws on aerospace structures using signal processing techniques. Flaw diagnosis algorithms have been developed on actual aircraft structures using the raw data. Time domain and Fourier analysis is being carried out and then their shortcomings are addressed using time frequency analysis, due to non stationary nature of ultrasonic acquired signal from Aerospace structures. Hilbert Huang Transform is then applied to observe and characterize flaws. Effect of frequency modes and energy distribution on particular locations is examined in this research to detect and analyze Region of Interest for diagnosis and subsequent crack estimation.

References

1. Polikar, R., L. Udpa, S.S. Udpa and T. Taylor, (1998). “Frequency invariant classification of ultrasonic weld inspection
signals,” Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on 45(3): 614 - 625.
2. Feng, Z., M. J. Z. a. X. W. (2006), “Ultrasonic Signal Signatures for Pipeline Damage Identification,” Edmonton, Alberta
T6G 2G8 Department of Mechanical Engineering, University of Alberta.
3. Shokouhi, P., N. Gucunsk and A. Meher, (2006). “Time-Frequency Techniques for the Impact Echo Data Analysis and
Interpretations,” 9th European NDT Conference (ECNDT). Berlin, Germany, ECNDT.
4. Petculescu, P., R. Zagan, G.C. Prodan and A. Danisor, (2005), “Ultrasonic spectroscopy based on wavelets transform for
materials characterization,” Romanian Journal of Physics, 50(8): 701-710.
5. Brotherhood, C.J., B.W. Drinkwater and R.J. Freemantle, 2003, “An ultrasonic wheel-array sensor and its application to
aerospace structures,” Insight, Vol 45 No 11 November 2003, pp 729-734.
6. Nondestructive Testing Handbook, third edition: Volume 7, Ultrasonic Testing, American Society for Nondestructive
Testing.
7. Allen, J. B. a. R., L. (1977). “A unified approach to short-time Fourier analysis and synthesis,” Proceedings of the IEEE
65(11): 1558 - 1564.
8. Polikar, R. (2001). The Wavelet Tutorial, Rowan University. Glassboro
9. Huang, N.E., Z. Shen, S.R. Long, M.C. Wu, H.H. Shih, Q. Zheng, N.C. Yen, C.C. Tung and H. H. Liu, (1998). “The
Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non Stationary Time Series Analysis,”
Proceedings of the Royal Society of London.

Metrics

Usage | Shares |
---|---|

Total Views 52 Page Views |
Total Shares 0 Tweets |

52 0 PDF Downloads |
0 0 Facebook Shares |

Total Usage | |

52 |