Locating acoustic emission sources in complex structures using Gaussian processes

Hensman, James; Mills, Robin S.; Pierce, S. Gareth; Worden, Keith; Eaton, Mark Jonathan

doi:10.1016/j.ymssp.2009.05.018

Cited by 124 publications

(75 citation statements)

References 7 publications

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“…This analytical method obtains the AE source as the intersection of spheres, the radii of which are related to TDOA [121][122][123][124]. Some are introducing artificial intelligence concepts for source location, including Gaussian process, support vector machine and deep learning [125][126][127]. Earlier, neural networks and genetic algorithm were also used [128].…”

Section: Source Locationmentioning

confidence: 99%

Review on Structural Health Evaluation with Acoustic Emission

Ono

2018

Applied Sciences

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This review introduces several areas of importance in acoustic emission (AE) technology, starting from signal attenuation. Signal loss is a critical issue in any large-scale AE monitoring, but few systematic studies have appeared. Information on damping and attenuation has been gathered from metal, polymer, and composite fields to provide a useful method for AE monitoring. This is followed by discussion on source location, bridge monitoring, sensing and signal processing, and pressure vessels and tanks, then special applications are briefly covered. Here, useful information and valuable sources are identified with short comments indicating their significance. It is hoped that readers note developments in areas outside of their own specialty for possible cross-fertilization.

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Section: Source Locationmentioning

confidence: 99%

Review on Structural Health Evaluation with Acoustic Emission

Ono

2018

Applied Sciences

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“…However, they suggested that T  source location should be used to monitor key areas in more detail, not for monitor the source AE source location in a global structure. Hensman et al (2010) extended the work of Baxter et al (2007), and offered a number of improvements. They proposed one artificial source instead of ten artificial sources and thus the requirement of training data is reduced.…”

Section: Mclaskey Et Al (2010) Applied Beamforming Technique As Propmentioning

confidence: 88%

Structural damage localisation by acoustic emission technique: A state of the art review

Sengupta

Datta

Topdar

2015

Lat. Am. j. solids struct.

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Structural damages are often associated with under-performance of an engineering system. Hence localisation of such damages, followed by remedial measures, is the key to ensure proper functioning of the structures during their design lives. Acoustic emission (AE) technique is one of the effective non destructive evaluation (NDE) techniques for damage localisation. The present study makes an effort to review the existing literature on this technique under a few broad categories and discuss chronological advancements in each such category. The advantages and drawbacks of each method are deliberated and further scopes of research are pointed out.

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“…The results of the AIC approach were compared with the Hinkley criterion picker, and with manually picked arrival times and were seen to be more reliable. Hensman et al 31 also adopted the AIC approach to improve the arrival measurement of dispersive AE signals in a study using Gaussian processes to improve location calculation in complex structures, a methodology that is discussed in more detail later in this article. Further to the above studies, Sedlak et al 32 developed a two-stage AIC-based approach for estimating AE signal arrival times.…”

Section: Statisticalmentioning

confidence: 99%

Towards improved damage location using acoustic emission

Eaton

Pullin

Holford

2012

Proceedings of the Institution of Mechanical Engineers, Part C:

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The acoustic emission technique is a passive non-destructive testing technique that has significant potential for use as a structural health monitoring technique for many large-scale structures, allowing continuous global monitoring. The location capability of the acoustic emission technique is its most beneficial attribute; however, the location accuracy can often be limited in complex materials and structures. This article discusses recent advances in the location of acoustic emission signals. The key sources of errors are identified as signal arrival time measurement and processing algorithm limitations. A series of strategies for reducing the effects of both causes of error are presented. Additionally, the results of a case study are used to demonstrate a novel mapping technique for acoustic emission source location of fatigue crack signals in an aircraft landing gear component. Improvements in location accuracy of up to 87.5% were observed when compared with standard location calculation algorithms.

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Locating acoustic emission sources in complex structures using Gaussian processes

Cited by 124 publications

References 7 publications

Review on Structural Health Evaluation with Acoustic Emission

Review on Structural Health Evaluation with Acoustic Emission

Structural damage localisation by acoustic emission technique: A state of the art review

Towards improved damage location using acoustic emission

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