Localization algorithm for acoustic emission

Salinas, Vicente; Vargas, Y.; Ruzzante, José; Gaete, L.

doi:10.1016/j.phpro.2010.01.111

Cited by 35 publications

(17 citation statements)

References 6 publications

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“…In the above equation, if the position of each sensor i S is given by ( ) In addition to the classification results, we estimate the crack location in this study. The location of the crack is estimated based on the source localization technique given in [24]. The source can be localized by geometrical arguments by using the following formula:…”

Section: Results and Analysismentioning

confidence: 99%

Leakage Detection of a Spherical Water Storage Tank in a Chemical Industry Using Acoustic Emissions

et al. 2019

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Spherical storage tanks are used in various industries to store substances like gasoline, oxygen, waste water, and liquefied petroleum gas (LPG). Cracks in the storage tanks are unaccepted defects, as storage tanks can leak or spill the contained substance through these cracks. Leakage from contained hazardous substances storage tanks can contaminate the environment and may lead to fatal accidents. Therefore, the ability to detect cracks from spherical storage tanks is necessary to avoid damage to the environment and to ensure public safety. In this paper, we present a crack detection case study of a spherical tank. The detection was performed using time-domain statistical features and a machine learning algorithm. The proposed method consists of (1) extraction of statistical features from the acoustic emissions (AE) acquired from the spherical tank, and (2) classification of the nonlinear data using a support vector machine (SVM). We evaluate the proposed algorithm with AE data obtained from the spherical tank, demonstrating that the algorithm effectively discriminates between normal and crack conditions. These results show that the proposed algorithm is effective for detecting cracks in spherical storage tanks.

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Section: Results and Analysismentioning

confidence: 99%

Leakage Detection of a Spherical Water Storage Tank in a Chemical Industry Using Acoustic Emissions

et al. 2019

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“…For example, it may be possible to locate the source of the AE events by using the times-ofarrival captured by several AE sensors placed at different positions on the tooth [38][39][40]. This will help to establish where the critical regions of debonding are in a restored tooth.…”

Section: Discussion and Concluding Remarksmentioning

confidence: 99%

Non-Destructive Examination of Interfacial Debonding in Dental Composite Restorations Using Acoustic Emission

Li¹,

Li²,

Liu³

et al. 2012

Composites and Their Applications

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“…Paul [4] used AE to analyze crack propagation in strain-hardening cement-based composite (SHCC) under tensile and flexural loads, and to characterize the cracking behavior in SHCC under direct tensile and flexural tests. Damage identification [5][6][7][8] and target damage localization [9][10][11] are focus points in the field of AE nondestructive testing technology.…”

Section: Introductionmentioning

confidence: 99%

Acoustic Emission Wave Velocity Attenuation of Concrete and Its Application in Crack Localization

Yang

et al. 2020

Sustainability

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The accurate localization of an acoustic emission (AE) source is a vital aspect of AE nondestructive testing technology. A model of wave velocity attenuation caused by the extension of transmission distance is established to analyze the attenuation of AE wave velocities in concrete and thus improve the acoustic source localization accuracy from the perspective of modified velocity. In combination with the exhaustive and region localization methods, a region exhaustive localization method is established based on the modified wave velocity. The results indicate that the smaller the water–cement ratio, the larger the reference wave velocity, and the spatially dependent attenuation of wave velocity increase. Moreover, the larger the aggregate particle size, the larger the reference wave velocity, and the greater the attenuation of wave velocity with distance. For a propagation distance of 1000 mm, the AE wave velocity attenuation exceeds 50% compared with the AE velocity. The optimized localization method reduces the number of nodes calculated, thus improving the method’s accuracy when used for localization.

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Localization algorithm for acoustic emission

Cited by 35 publications

References 6 publications

Leakage Detection of a Spherical Water Storage Tank in a Chemical Industry Using Acoustic Emissions

Leakage Detection of a Spherical Water Storage Tank in a Chemical Industry Using Acoustic Emissions

Non-Destructive Examination of Interfacial Debonding in Dental Composite Restorations Using Acoustic Emission

Acoustic Emission Wave Velocity Attenuation of Concrete and Its Application in Crack Localization

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