Acoustic emission for monitoring aircraft structures

Holford, K. M. and Pullin, R. and Evans, S. L. and Eaton, M. J. and Hensman, J. and Worden, K. (2009) Acoustic emission for monitoring aircraft structures. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 223 (5). pp. 525-532. ISSN 0954-4100

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Abstract

Structural health monitoring (SHM) is of paramount importance in the aircraft industry: not only to ensure the safety and reliability of aircraft in flight and to ensure timely maintenance of critical components, but also increasingly to monitor structures under test for airworthiness certification of new designs. This article highlights some of the recent advances in the acoustic emission (AE) technique as applied to SHM, and the new approaches that are crucial for the successful use of AE data for diagnostic purposes. These include modal analysis, enhanced location techniques, and novel signal processing approaches. A case study is presented on a landing gear component undergoing fatigue loading in which a linear location analysis using conventional techniques identified the position of fracture and final rupture of the specimen. A principal component analysis approach was used to separate noise signals from signals arising from fatigue cracks, which identified and located further fatigue crack positions, subsequently confirmed by magnetic particle inspection. Kernel probability density functions are used to aid visualization of the damage location.

Item Type:
Journal Article
Journal or Publication Title:
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2200/2210
Subjects:
?? ACOUSTIC EMISSIONAIRCRAFT COMPONENTSFATIGUE CRACKSFAULT DETECTIONFAULT LOCATIONPRINCIPAL COMPONENT ANALYSISSIGNAL PROCESSINGAEROSPACE ENGINEERINGMECHANICAL ENGINEERING ??
ID Code:
84250
Deposited By:
Deposited On:
24 Jan 2017 14:54
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Sep 2023 01:20