Features of Constructing Planar Localization of Acoustic Emission Sources Using Inglada’s Triangulation Algorithm

This work is dedicated to the development of a method for improving the efficiency of detecting acoustic emission (AE) sources in planar location using Inglada’s algorithm. The main factors influencing the error in determining the coordinates of AE sources in planar location using the standard method are considered. These include the threshold method for determining the moment of signal registration by AE transducers based on the rising wavefront exceeding the discrimination threshold $$\left( {{{u}_{{{\text{th}}}}}} \right)$$ , the signal sampling frequency level $$\left( {{{f}_{d}}} \right)$$ , and the influence of the dispersion properties of the medium on the attenuation of pulse amplitude and the speed of propagation. To reduce the impact of the factors listed above on the results of the coordinate location of AE sources, a new method is proposed, based on the use of correlation dependences of the AE pulse propagation speed in relation to the amplitude of the recorded signals and accounting for the delay in the moment of pulse recording by AE transducers in the threshold detection method. A series of preliminary tests were carried out to implement the proposed method during which AE pulses with a maximum amplitude level of $${{u}_{m}}$$ = 45–90 dB were generated using an electronic simulator. The position of the AE pulse emission source varied in the range from 150 to 700 mm relative to the receiving transducers of the antenna array. As a result of applying the developed method, the probability of detecting AE sources increased to $$p = 0.71$$ , whereas with the standard approach it did not exceed $$p = 0.36$$ .

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Publication Details

Journal
Russian Journal of Nondestructive Testing
Published
2024-12-01
DOI
https://doi.org/10.1134/s1061830924602599
Citations
1
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.83
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article

Features of Constructing Planar Localization of Acoustic Emission Sources Using Inglada’s Triangulation Algorithm

Yu. G. Matvienko, Timofey Balandin, Д. В. Чернов, И. Е. Васильев
1 citations
Russian Journal of Nondestructive Testing
3D Surveying and Cultural Heritage
0.83
article

Features of Constructing Planar Localization of Acoustic Emission Sources Using Inglada’s Triangulation Algorithm

Yu. G. Matvienko, Timofey Balandin, Д. В. Чернов, И. Е. Васильев
article en
1 citations

Abstract

This work is dedicated to the development of a method for improving the efficiency of detecting acoustic emission (AE) sources in planar location using Inglada’s algorithm. The main factors influencing the error in determining the coordinates of AE sources in planar location using the standard method are considered. These include the threshold method for determining the moment of signal registration by AE transducers based on the rising wavefront exceeding the discrimination threshold $$\left( {{{u}_{{{\text{th}}}}}} \right)$$ , the signal sampling frequency level $$\left( {{{f}_{d}}} \right)$$ , and the influence of the dispersion properties of the medium on the attenuation of pulse amplitude and the speed of propagation. To reduce the impact of the factors listed above on the results of the coordinate location of AE sources, a new method is proposed, based on the use of correlation dependences of the AE pulse propagation speed in relation to the amplitude of the recorded signals and accounting for the delay in the moment of pulse recording by AE transducers in the threshold detection method. A series of preliminary tests were carried out to implement the proposed method during which AE pulses with a maximum amplitude level of $${{u}_{m}}$$ = 45–90 dB were generated using an electronic simulator. The position of the AE pulse emission source varied in the range from 150 to 700 mm relative to the receiving transducers of the antenna array. As a result of applying the developed method, the probability of detecting AE sources increased to $$p = 0.71$$ , whereas with the standard approach it did not exceed $$p = 0.36$$ .

Russian Journal of Nondestructive TestingVol. 60(12)
Russian Academy of Sciences (RU), Russian Engineering Academy (RU)
Climate action
Openalex Percentile: Top 17%
3D Surveying and Cultural Heritage
0.83
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Features of Constructing Planar Localization of Acoustic Emission Sources Using Inglada’s Triangulation Algorithm — Yu. G. Matvienko, Timofey Balandin, et al. · Russian Journal of Nondestructive Testing (2024) | TGRS Research Map | TGRS