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Principal component analysis of acoustic emission signals from landing gear components: an aid to fatigue fracture detection

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Principal component analysis of acoustic emission signals from landing gear components: an aid to fatigue fracture detection. / Eaton, M. J.; Pullin, R.; Hensman, J. J. et al.
In: Strain, Vol. 47, No. SUPPL. 1, 06.2011, p. e588-e594.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Eaton, MJ, Pullin, R, Hensman, JJ, Holford, KM, Worden, K & Evans, SL 2011, 'Principal component analysis of acoustic emission signals from landing gear components: an aid to fatigue fracture detection', Strain, vol. 47, no. SUPPL. 1, pp. e588-e594. https://doi.org/10.1111/j.1475-1305.2009.00661.x

APA

Eaton, M. J., Pullin, R., Hensman, J. J., Holford, K. M., Worden, K., & Evans, S. L. (2011). Principal component analysis of acoustic emission signals from landing gear components: an aid to fatigue fracture detection. Strain, 47(SUPPL. 1), e588-e594. https://doi.org/10.1111/j.1475-1305.2009.00661.x

Vancouver

Eaton MJ, Pullin R, Hensman JJ, Holford KM, Worden K, Evans SL. Principal component analysis of acoustic emission signals from landing gear components: an aid to fatigue fracture detection. Strain. 2011 Jun;47(SUPPL. 1):e588-e594. Epub 2010 Jan 8. doi: 10.1111/j.1475-1305.2009.00661.x

Author

Eaton, M. J. ; Pullin, R. ; Hensman, J. J. et al. / Principal component analysis of acoustic emission signals from landing gear components : an aid to fatigue fracture detection. In: Strain. 2011 ; Vol. 47, No. SUPPL. 1. pp. e588-e594.

Bibtex

@article{e066c55643b24230b86dfacc371bf81b,
title = "Principal component analysis of acoustic emission signals from landing gear components: an aid to fatigue fracture detection",
abstract = "This work forms part of a larger investigation into fatigue crack detection using acoustic emission (AE) during landing gear airworthiness testing. It focuses on the use of principal component analysis (PCA) to differentiate between fatigue crack propagation (FCP) signals and high levels of background noise. An artificial AE fracture source was developed and additionally five sources were used to generate differing artificial AE signals. Signals were recorded from all six artificial sources in a real landing gear component subject to no load. Furthermore, artificial FCP signals were recorded in the same component under airworthiness test load conditions. PCA was used to automatically differentiate between AE signals from different source types. Furthermore, successful separation of artificial FCP signals from a very high level of background noise was achieved. The presence of a load was observed to affect the ultrasonic propagation of AE signals.",
keywords = "acoustic emission, aerospace, fracture detection, principal component analysis",
author = "Eaton, {M. J.} and R. Pullin and Hensman, {J. J.} and Holford, {K. M.} and K. Worden and Evans, {S. L.}",
year = "2011",
month = jun,
doi = "10.1111/j.1475-1305.2009.00661.x",
language = "English",
volume = "47",
pages = "e588--e594",
journal = "Strain",
issn = "0039-2103",
publisher = "Wiley-Blackwell",
number = "SUPPL. 1",

}

RIS

TY - JOUR

T1 - Principal component analysis of acoustic emission signals from landing gear components

T2 - an aid to fatigue fracture detection

AU - Eaton, M. J.

AU - Pullin, R.

AU - Hensman, J. J.

AU - Holford, K. M.

AU - Worden, K.

AU - Evans, S. L.

PY - 2011/6

Y1 - 2011/6

N2 - This work forms part of a larger investigation into fatigue crack detection using acoustic emission (AE) during landing gear airworthiness testing. It focuses on the use of principal component analysis (PCA) to differentiate between fatigue crack propagation (FCP) signals and high levels of background noise. An artificial AE fracture source was developed and additionally five sources were used to generate differing artificial AE signals. Signals were recorded from all six artificial sources in a real landing gear component subject to no load. Furthermore, artificial FCP signals were recorded in the same component under airworthiness test load conditions. PCA was used to automatically differentiate between AE signals from different source types. Furthermore, successful separation of artificial FCP signals from a very high level of background noise was achieved. The presence of a load was observed to affect the ultrasonic propagation of AE signals.

AB - This work forms part of a larger investigation into fatigue crack detection using acoustic emission (AE) during landing gear airworthiness testing. It focuses on the use of principal component analysis (PCA) to differentiate between fatigue crack propagation (FCP) signals and high levels of background noise. An artificial AE fracture source was developed and additionally five sources were used to generate differing artificial AE signals. Signals were recorded from all six artificial sources in a real landing gear component subject to no load. Furthermore, artificial FCP signals were recorded in the same component under airworthiness test load conditions. PCA was used to automatically differentiate between AE signals from different source types. Furthermore, successful separation of artificial FCP signals from a very high level of background noise was achieved. The presence of a load was observed to affect the ultrasonic propagation of AE signals.

KW - acoustic emission

KW - aerospace

KW - fracture detection

KW - principal component analysis

U2 - 10.1111/j.1475-1305.2009.00661.x

DO - 10.1111/j.1475-1305.2009.00661.x

M3 - Journal article

AN - SCOPUS:79958813541

VL - 47

SP - e588-e594

JO - Strain

JF - Strain

SN - 0039-2103

IS - SUPPL. 1

ER -