Browse > Article

Multi-Stage Adaptive Noise Cancellation Technique for Synthetic $Hard-{\alpha}$ Inclusion  

Kim, Jae-Joon (Daegu University, School of Computers and Communications Engineering)
Publication Information
Journal of the Korean Society for Nondestructive Testing / v.23, no.5, 2003 , pp. 455-463 More about this Journal
Abstract
Adaptive noise cancellation techniques are ideally suitable for reducing spatially varying noise due to the grain structure of material in ultrasonic nondestructive evaluation. Grain noises have an un-correlation property, while flaw echoes are correlated. Thus, adaptive filtering algorithms use the correlation properties of signals to enhance the signal-to-noise ratio (SNR) of the output signal. In this paper, a multi-stage adaptive noise cancellation (MANC) method using adaptive least mean square error (LMSE) filter for enhancing flaw detection in ultrasonic signals is proposed.
Keywords
grain noise; adaptive filtering; multistage adaptive noise cancellation;
Citations & Related Records
연도 인용수 순위
  • Reference
1 R. L. Scheaffer, and J. T. McClave, Probability and Statistics for Engineers, 2nd Edition. Boston, Duxbury Press, (1986)
2 B. Widrow and J. M. McCool, 'A Comparison of Adaptive Algorithms Based on the Methods of Steepest Descent and Random Search', IEEE Trans. on ASSP, Vol. 24, pp. 615, (1976)
3 Josef Krautkramer and Krautkramer, Herbert, Ultrasonic Testing of Materials, 4th/revisededition, Springer Verlag, (1990)
4 Simon Haykin, Adaptive Filter Theory, 2ed Englewood Cliffs, NJ, Prentice Hall, (1991)
5 J. Kim, L. Udpa. and S. Udpa, 'Multi-stage adaptive noise cancellation for ultrasonic NDE', NDT&E International, Vol. 34, pp.319-328, (2001)
6 C. P. Chiou, L. W. Schmerr and R. B. Thompson, 'Statistical Detection for Ultrasonic NDE,' Rev. of prog. in Quant. NDE, N.Y., Plenum Press, Vol. 13, pp. 871-878, (1994)
7 J. G. Costa, R. E. Gonzalez, R. E. Guyotte, D. P. Salvano, T. Swift, and R. J. Koenig. 'Titanium rotating components review team report,' Federal Aviation Administration, Aircraft Certification Service, Engine and Propeller Directorate, Boston, MA, December, (1990)
8 S. Bae, J. Kim, L. Udpa and S. S. Udpa, 'A New Adaptive Grain Noise Cancellation Filtering Technique', Rev. of prog. in Quant. NDE, N.Y., Plenum Press, Vol. 17, pp.759-766, (1997)
9 Chien-Ping Chiou, R. Bruce Thompson and Lester W. Schmcrr, 'Ultrasonic Signal-to-Noise Ratio Enhancement Using Adaptive Filtering Technique', Rev. of prog. in Quant. NDE, N.Y., Plenum Press, Vol. 14, pp.727-732, (1995)
10 S. Prasad, S. S. Udpa, L. Udpa and C.-P. Chiou, 'Detection of Hard-Alpha Regions in Titanium Using Wavelet Transform Based Techniques,' Rev. of prog. in Quant. NDE, N.Y., Plenum Press, Vol. 13, pp. 801-808,(1994)
11 B. Widrow, J. R. Glover Jr., J. M. McCool, J. Kaunitz, C. S. Williams, et al, 'Adaptive noise cancelling: principles and applications', Proceedings of the IEEE, Vol. 63, No. 12, pp. 1692-1716, (1975)   DOI   ScienceOn
12 R. B. Thompson, 'A Generalized Model of the Effects of Microstructure on Ultrasonic Backscattering and Flaw Detection,' Rev. of prog. in Quant. NDE, N.Y., Plenum Press, Vol. 15, pp. 1471-1477, (1996)
13 V. L. Newhouse, N. M. Bilgutay, J. Saniie, and E. S. Furgason, 'Flaw-to-grain echoenhancement by split-spectrum processing', Ultrasonics, Vol. 20, pp. 59-68, (1982)
14 B. Widrow and S. D. Steams, Adaptive Signal Processing, Englewood Cliffs, NJ, Prentice Hall, (1985)
15 Y. Zhu and J. P. Weight, 'Ultrasonic Nondestructive Evaluation of Highly Scattering Materials Using Adaptive Filtering and Detection', IEEE Trans. on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 41, No.1, pp. 26-33, (1994)   DOI   ScienceOn
16 K. S. Chan, L. Perocchi, and G. R. Leverant, 'Constitutive Properties of Hard-Alpha Titanium,' Metallurgical and Materials Transactions, Vol. 31A, pp. 3209-3040, (2000)
17 R. Murthy, N. M. Bilgutay and J. Saniie, 'Application of bandpass filtering in ultrasonicnondestructive testing', Rev. of prog. in Quant. NDE, N.Y., Plenum Press, Vol. 8, pp. 759-767, (1989)
18 C. P. Chiou, R. B. Thompson and L. W. Schmerr, 'Ultrasonic Signal-to-Noise Ratio Enhancement Using Adaptive Filtering Technique,' Rev. of prog. in Quant. NDE, N.Y., Plenum Press, Vol. 14, pp. 727-732, (1995)