Acoustic source localization

Kundu, Tribikram

doi:10.1016/j.ultras.2013.06.009

Cited by 295 publications

(169 citation statements)

References 45 publications

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“…This method can successfully localise the source on anisotropic structures as well as structures having geometrical complexities like notches. Kundu (2014) classified different source localisation techniques using geometric method and specified their advantages and limitations. Broadly the source localisation can be classified into three categories: Source localisation in isotropic plates, Source localisation in anisotropic plates and localisation in complex and three dimensional structures.…”

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

confidence: 99%

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

confidence: 99%

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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“…There are many research projects on the source localization technique, and various techniques have been proposed [1]. Most of the source localization techniques assume that the elastic wave velocity distribution is homogeneous and approximates the ray-paths as straight lines, in order to reduce the entailed computational costs.…”

Section: Introductionmentioning

confidence: 99%

A Source Localization Technique Based on a Ray-Trace Technique with Optimized Resolution and Limited Computational Costs

Kobayashi¹,

Oda²,

Nakamura³

2018

The 18th International Conference on Experimental Mechanics

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Abstract:A new source localization technique is proposed in this study. The proposed source localization technique considers the heterogeneity of elastic wave velocity distribution, which is generally caused by the local deteriorations or damages of structures, on the basis of a ray-trace technique. The resolutions of identified source locations are raised by installing extra source candidates near a roughly identified source location with half of an interval of nodal and relay points in the technique. Furthermore, the extra source candidates are installed in the vicinity of the identified source locations with half of the previous interval, and the source locations are identified again. The resolution consequently rises up to the requirement with limited computational cost, by performing the procedure iteratively in the proposed technique. A series of numerical investigations were performed for the verification of the proposed technique, and it was confirmed that the proposed technique identified the source locations in the required resolution at a limited computational cost.

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“…With this technique, we can determine the necessity of further examination at specific area before offline inspection, thus reducing the inspection cost while maintaining the reliability and avoiding sudden failure [11,12]. Many algorithms have been proposed in this field, especially dealing with the case when the impact event cannot be observed directly.…”

Section: Introductionmentioning

confidence: 99%

“…In the passive method, these three features, TDOA (Time Difference Of Arrival), AOA (Angle Of Arrival), and RSSI (Received Signal Strength Indication), of the signal are most widely used. For the TDOA-based method, it is easy to implement and does not need specific sensor layout or extra computing power [11,[13][14][15]. However, it requires low signal noise ratio (SNR) of the signal and high sampling rate to obtain the accurate time difference.…”

Section: Introductionmentioning

confidence: 99%

Impact Localization Method for Composite Plate Based on Low Sampling Rate Embedded Fiber Bragg Grating Sensors

Zhuo

Yuan

Hao

et al. 2017

Mathematical Problems in Engineering

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Fiber Bragg Grating (FBG) sensors have been increasingly used in the field of Structural Health Monitoring (SHM) in recent years. In this paper, we proposed an impact localization algorithm based on the Empirical Mode Decomposition (EMD) and Particle Swarm Optimization-Support Vector Machine (PSO-SVM) to achieve better localization accuracy for the FBG-embedded plate. In our method, EMD is used to extract the features of FBG signals, and PSO-SVM is then applied to automatically train a classification model for the impact localization. Meanwhile, an impact monitoring system for the FBG-embedded composites has been established to actually validate our algorithm. Moreover, the relationship between the localization accuracy and the distance from impact to the nearest sensor has also been studied. Results suggest that the localization accuracy keeps increasing and is satisfactory, ranging from 93.89% to 97.14%, on our experimental conditions with the decrease of the distance. This article reports an effective and easy-implementing method for FBG signal processing on SHM systems of the composites.

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Acoustic source localization

Cited by 295 publications

References 45 publications

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

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

A Source Localization Technique Based on a Ray-Trace Technique with Optimized Resolution and Limited Computational Costs

Impact Localization Method for Composite Plate Based on Low Sampling Rate Embedded Fiber Bragg Grating Sensors

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