A framework for the damage evaluation of acoustic emission signals through Hilbert–Huang transform

Siracusano, Giulio; Lamonaca, Francesco; Tomasello, Riccardo; Garescì, Francesca; Corte, Aurelio La; Carnì, Domenico Luca; Carpentieri, Mario; Grimaldi, D.; Finocchio, G.

doi:10.1016/j.ymssp.2015.12.004

Cited by 83 publications

(33 citation statements)

References 60 publications

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“…It can be seen that many AE hits were recorded at load level ranging from 0.2 to 0.25, accompanied by an abrupt increase in energy. This behavior was linked to the production of initial cracks that released great energy, which was reported by Giulio Siracusano [17]. When the loading was further increased above 0.25 threshold, the growth trend of cumulative parameters tended to be gentle, indicating that the fracture inside the specimen had entered the stable expansion stage.…”

Section: Total Ae Hitsmentioning

confidence: 61%

“…In reference to the Gutenberg-Richter empirical relation in seismology, the b-value method can be adopted to analyze AE data [16]. Siracusano et al [17] established the damage assessment system of fiber-free concrete by Hilbert-Huang Transform processing of AE data, verifying the role of AE technology in the monitoring and health assessment of infrastructure service status. AE technology can also locate the internal damage of the structure.…”

Section: Introductionmentioning

confidence: 99%

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Mechanical Properties and Crack Classification of Basalt Fiber RPC Based on Acoustic Emission Parameters

Liu

Zhou

et al. 2019

Applied Sciences

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The workability and mechanical properties of basalt fiber reactive powder concrete (BFRPC) were investigated by univariate analysis. The acoustic emission (AE) was used as a non-destructive technique to reveal the damage characterization of concrete samples of varying basalt fiber content. The fracture stages and modes of specimens during flexural test were determined by AE parameters. The content of silica fume, quartz sand and basalt fiber of 0.4, 1.3 and 10 kg/m3, respectively, was found related to optimal improvements in mechanical strength. As for the characteristics of fracture, it was found that the fiber content was a significant determinant, and the key AE parameters, namely, hits, energy and amplitude, were found related to the damage stage of specimens. Furthermore, rise time (RA) and average frequency (AF) were found to have opposite trends during loading while their variation related to the fracture modes of BFRPC.

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Section: Total Ae Hitsmentioning

confidence: 61%

Section: Introductionmentioning

confidence: 99%

Mechanical Properties and Crack Classification of Basalt Fiber RPC Based on Acoustic Emission Parameters

Liu

Zhou

et al. 2019

Applied Sciences

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“…Here, ( ) m Γ is the gamma function defined as ( ) [54]. Such computations have been performed within a parallel processing framework, which has been designed and implemented for accelerating algorithms computation [55,56].…”

Section: (C) Statistical Description Of the Micromagnetic Simulationsmentioning

confidence: 99%

Description of Statistical Switching in Perpendicular STT-MRAM Within an Analytical and Numerical Micromagnetic Framework

et al. 2018

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The realistic modeling of STT-MRAM for the simulations of hybrid CMOS/Spintronics devices in comprehensive simulation environments require a full description of stochastic switching processes in state of the art STT-MRAM. Here, we derive an analytical formulation that takes into account the spin-torque asymmetry of the spin polarization function of magnetic tunnel junctions studying. We studied its validity range by comparing the analytical formulas with results achieved numerically within a full micromagnetic framework. We also find that a reasonable fit of the probability density function (PDF) of the switching time is given by a Pearson Type IV PDF. The main results of this work underlines the need of data-driven design of STT-MRAM that uses a full micromagnetic simulation framework for the statistical proprieties PDF of switching processes.

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“…The time-frequency-scale (TFS) transform concept has been used, for example, for monitoring the milling process and detecting surface irregularities [17]. Wavelet transform allowed finding material damage in civil infrastructures [18,19] or in wind blades [20], as well as detecting low speed bearing failure [21]. Hilbert-Huang Transform (HHT) has also been used for determining the mechanical properties of refractory materials [22].…”

Section: Introductionmentioning

confidence: 99%

Acoustic emission analysis for the detection of appropriate cutting operations in honing processes

Buj-Corral

Alvarez-Florez

Domínguez-Fernández

2018

Mechanical Systems and Signal Processing

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In the present paper, acoustic emission was studied in honing experiments obtained with different abrasive densities, 15, 30, 45 and 60. In addition, 2D and 3D roughness, material removal rate and tool wear were determined. In order to treat the sound signal emitted during the machining process, two methods of analysis were compared: Fast Fourier Transform (FFT) and Hilbert Huang Transform (HHT). When density 15 is used, the number of cutting grains is insufficient to provide correct cutting, while clogging appears with densities 45 and 60. The results were confirmed by means of treatment of the sound signal. In addition, a new parameter S was defined as the relationship between energy in low and high frequencies contained within the emitted sound. The selected density of 30 corresponds to S values between 0.1 and 1. Correct cutting operations in honing processes are dependent on the density of the abrasive employed. The density value to be used can be selected by means of measurement and analysis of acoustic emissions during the honing operation. Thus, honing processes can be monitored without needing to stop the process.

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A framework for the damage evaluation of acoustic emission signals through Hilbert–Huang transform

Cited by 83 publications

References 60 publications

Mechanical Properties and Crack Classification of Basalt Fiber RPC Based on Acoustic Emission Parameters

Mechanical Properties and Crack Classification of Basalt Fiber RPC Based on Acoustic Emission Parameters

Description of Statistical Switching in Perpendicular STT-MRAM Within an Analytical and Numerical Micromagnetic Framework

Acoustic emission analysis for the detection of appropriate cutting operations in honing processes

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