Advanced Filtering Methods Application for Sensitivity Enhancement during AE Testing of Operating Structures

Соколов, И. В.; Matyunin, V. M.; Barat, V. A.; Chernov, D. V.; Marchenkov, A. Yu.

doi:10.17485/ijst/2016/v9i42/104223

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…However, this characterisation is dependent on the accuracy of the AE event localisation. The accuracy of localisation depends on many assumptions such as the wave velocity, the material properties, the media geometry, the sensors installation and coupling [17,18]. In addition, a loss or partial acquisition of AE signals can decrease the accuracy of AE monitoring in function of the adopted triggered acquisition modality [19].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the acoustic emission 3D localisation accuracy for the mechanical damage monitoring in concrete

Boniface

Saliba

Sbartaï

et al. 2020

Engineering Fracture Mechanics

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One of the main interests of the Acoustic Emission (AE) technique is its capability to detect and localise damage in structures. In this paper, the accuracy of AE sources localisation in concrete is studied. Several methods related to the choice of the onset detection of AE signals and to the location algorithm are evaluated and compared. The results show an important influence of the onset detection method on the location accuracy of AE events. The choice of the minimisation algorithm depends on the desired accuracy and the computation time. A statistical analysis based on the distribution of AE events and energy is presented for the detection of damages and the monitoring of the crack propagation. The comparison of the presented methodology demonstrates comparative results with Digital Image Correlation (DIC).

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Section: Introductionmentioning

confidence: 99%

Evaluation of the acoustic emission 3D localisation accuracy for the mechanical damage monitoring in concrete

Boniface

Saliba

Sbartaï

et al. 2020

Engineering Fracture Mechanics

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“…A morphological method for filtering unsteady noises was proposed in [7]; application of morphological operations to signal fragments, such as narrowing and expansion, allows filtering of pulsed noise of short duration. Filtering of unsteady impulse noise based on the distribution function of time intervals is considered in [8][9].A common drawback of the above filtering algorithms is the rather formal nature of the description of the signal and noise model. The filtering efficiency is considered on the basis of particular examples; there is no comparison of the shape of AE impulses with waveguide parameters.…”

Section: Introductionmentioning

confidence: 99%

Empirical Modelling of Acoustic Emission Impulses

Vera*¹,

Vladimir²,

Artem³

2019

IJITEE

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Acoustic emission nondestructive testing method is very widespread diagnostic method based on phenomena of radiation of acoustic waves during the materials destruction. The main advantages of the method are sensitivity to the crack and possibility of remote testing when sensor installed far from the defect. The main drawback of the method is complexity of data processing. Acoustic emission signals are characterized by the variability of the shape and spectrum associated with the dispersive nature of the propagation of the signal along the waveguide. Uncertainty of the signal waveform and spectrum complicates the development of the data processing methods. The article proposes an empirical model of the acoustic emission impulse constructed using generalization of experimental data. The use of this model makes it possible to increase the efficiency of noise filtering by comparing the shape and spectrum of acoustic emission impulses and noise at various distances between the defect and the sensor

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Investigation of the Scale Factor Impact on the Results of Acoustic Emission Monitoring of the Steel Specimens Tension Process

et al. 2022

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The research is devoted to steel structure diagnostics by the acoustic emission (AE) method. The existing regulatory documents for AE diagnostics of metals and alloys do not take into account some critical factors, among which one is the scale factor should be highlighted. As a result, this can lead to an unreliable assessment of the danger degree of defects in structures when using standard AE diagnostic criteria. This paper presents a quantitative assessment of the scale factor impact on the AE data during the static tension test of steel specimens to failure. Experimental studies were carried out on flat specimens of various thicknesses with a side notch made of high-quality alloyed steel 30 KhGSA. It was established that AE data changed (rise in the AE signals amplitudes and AE activity) within the increase of specimen thickness. Growth in the recorded AE signals cumulative energy was registered with a greater specimen thickness. Partial correlation dependences of the mean count frequency and cumulative energy of AE signals on the specimen thickness were obtained. It was shown that such an effect occurred due to both a general increase in the deformed metal volume and greater strain intensity during the tension of thick specimens. The obtained dependences may contribute to the development of AE diagnostics of metallic materials which is invariant to the scale factor impact.

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Advanced Filtering Methods Application for Sensitivity Enhancement during AE Testing of Operating Structures

Cited by 3 publications

References 3 publications

Evaluation of the acoustic emission 3D localisation accuracy for the mechanical damage monitoring in concrete

Evaluation of the acoustic emission 3D localisation accuracy for the mechanical damage monitoring in concrete

Empirical Modelling of Acoustic Emission Impulses

Investigation of the Scale Factor Impact on the Results of Acoustic Emission Monitoring of the Steel Specimens Tension Process

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