Damage detection using stress waves and multivariate statistics: An experimental case study of an aircraft component

Strain

Volumn 43, Issue 1, 2007, Pages 47-53

  Mustapha, F ^a   Worden, K ^a   Pierce, S G ^a   Manson, G ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DEFECTS; FREQUENCY DOMAIN ANALYSIS; STATISTICS; STRESSES; WINGS;

AIRCRAFT COMPONENT; DAMAGE DETECTION; MULTIVARIATE STATISTICS; STRESS WAVES;

AIRCRAFT PARTS AND EQUIPMENT;

EID: 33846402112     PISSN: 00392103     EISSN: 14751305     Source Type: Journal    
DOI: 10.1111/j.1475-1305.2007.00306.x     Document Type: Article

References (7)

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2. Alleyne, D. N. and Cawley, P. (1992) The interaction of Lamb waves with defects. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 48, 381-397.
3. Mustapha, F., Manson, G., Pierce, S. G. and Worden, K. (2005) Structural health monitoring of an annular component using a statistical approach. Strain 41, 117-127.
4. Bishop, C. M. (1994) Novelty detection and neural network validation. IEEE Proc. Vision Image Signal Process. 141, 217-222.
5. Worden, K., Manson, G. and Fieller, N. R. J. (2000) Damage detection using outlier analysis. J. Sound Vibrat. 229, 647-667.
6. The Mathworks, Inc. (1999) Data Acquisition Toolbox Users Guide. The Mathworks Inc., Natick, MA.
7. Sharma, S. (1996) Applied Multivariate Techniques. John Wiley, New York.