A New Method of Low Amplitude Signal Detection and Its Application in Acoustic Emission

Agletdinov, E. A.; Мерсон, Д. Л.; Vinogradov, Alexei

doi:10.3390/app10010073

Cited by 20 publications

(11 citation statements)

References 58 publications

(57 reference statements)

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“…All these shortcomings of the conventional amplitude discrimination substantially limit the applicability of the threshold-based features for recognition of different AE sources or associated wear mechanisms simply because the patterns of descriptive variable become threshold-dependent too. Therefore, we trust that the effectiveness of the recognition of meaningful signals can be improved substantially by thresholdless data acquisition followed by numerical signal detection (see, for example, [41], or a recent survey of existing methods provided in [42]). The triggerless approach assumes continuous data recording (streaming) with a high (up to several Msamples/s) sampling rate and assures that the information is preserved without loss on a storage device for further processing.…”

Section: Methodology Overviewmentioning

confidence: 96%

A Time-Frequency Based Approach for Acoustic Emission Assessment of Sliding Wear

et al. 2020

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The acoustic emission method is one of few contemporary non-destructive testing techniques enabling continuous on-line health monitoring and control of tribological systems. However, the existence of multiple “pseudo”-acoustic emission (AE) and noise sources during friction, and their random occurrence poses serious challenges for researchers and practitioners when extracting “useful” information from the upcoming AE signal. These challenges and numerous uncertainties in signal classification prevent the unequivocal interpretation of results and hinder wider uptake of the AE technique despite its apparent advantages. Currently, the signal recording and processing technologies are booming, and new applications are born on this support. Specific tribology applications, therefore, call for developing new and tuning existing approaches to the online AE monitoring and analysis. In the present work, we critically analyze, compare and summarize the results of the application of several filtering techniques and AE signal classifiers in model tribological sliding friction systems allowing for the simulation of predominant wear mechanisms. Several effective schemes of AE data processing were identified through extensive comparative studies. Guidelines were provided for practical application, including the online monitoring and control of the systems with friction, characterizing the severity and timing of damage, on-line evaluation of wear as sliding contact tests and instrumented acceleration of tribological testing and cost reduction.

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Section: Methodology Overviewmentioning

confidence: 96%

A Time-Frequency Based Approach for Acoustic Emission Assessment of Sliding Wear

et al. 2020

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“…The AE recording was performed continuously at 2 MHz sampling rate. The preference to use the waveform streaming acquisition mode is given based on the strong arguments unfolded in [68][69][70][71][72]. In brief, AE during plastic deformation and fracture of structural materials appears as a random sequence of arbitrarily spaced individual pulses having different waveforms and amplitudes depending on the properties of the emitting source.…”

Section: Methodsmentioning

confidence: 99%

Challenges and Accomplishments in Mechanical Testing Instrumented by In Situ Techniques: Infrared Thermography, Digital Image Correlation, and Acoustic Emission

et al. 2021

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A current trend in mechanical testing technologies is to equip researchers and industrial practitioners with the facilities for non-destructive characterisation of the deformation and fracture processes occurring on different scales. The synergistic effect of such a combination of destructive and non-destructive techniques both widens and deepens existing knowledge in the field of plasticity and fracture of materials and provides the feedback sought to develop new non-destructive testing approaches and in situ monitoring techniques with enhanced reliability, accuracy and a wider scope of applications. The macroscopic standardised mechanical testing is still dominant in the research laboratories and industrial sector worldwide. The present paper reviews multiple challenges commonly faced by experimentalists, aiming at enhancing the capability of conventional mechanical testing by a combination of contemporary infrared thermography (IRT), rapid video imaging (RVI) with non-contact strain mapping possibilities enabled by the digital image correlation (DIC) method, and the acoustic emission (AE) technique providing unbeatable temporal resolution of the stochastic defect dynamics under load. Practical recommendations to address these challenges are outlined. A versatile experimental setup uniting the unique competencies of all named techniques is described alone with the fascinating possibilities it offers for the comprehensive characterisation of damage accumulation during plastic deformation and fracture of materials. The developed toolbox comprising practical hardware and software solutions brings together measuring technologies, data, and processing in a single place. The proposed methodology focuses on the characterisation of the thermodynamics, kinematics and dynamics of the deformation and fracture processes occurring on different spatial and temporal scales. The capacity of the proposed combination is illustrated using preliminary results on the tensile and fatigue behaviour of the fcc Inconel-625 alloy used as a representative example. Dissipative processes occurring in this alloy are assessed through the complex interplay between the released heat, acoustic emission waves, and expended and stored elastic energy.

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“…An example of STA/LTA events detection [28][29][30][31] is shown in the Figure 2. Three methods were used: PC-SUDS, Processing of Seismic Data Stored in the Seismic Unified Data System, [32,33], Allen [34], and Hilbert transforms, which correlated with the envelope function [35].…”

Section: Data and Detection Methodsmentioning

confidence: 99%

Monitoring of Gas Emissions in Light of an OEF Application

et al. 2020

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This study analyzes the possibility to use geophysical and geochemical parameters in an OEF (Operational Earthquake Forecasting) application correlated with short-term changes in seismicity rates using a magnitude–frequency relationship. Tectonic stress over the limits of rock elasticity generates earthquakes, but it is possible that the emission of gases increases as a result of the breaking process. The question is how reliable is the emission of radon-222 and Carbon Dioxide (CO2), with effects on air ionization and aerosol concentration, in an OEF application? The first step is to select the seismic area (in our study this is the Vrancea area characterized by deep earthquakes at the bend of the Carpathian Mountains), then determine the daily and seasonal evolution of the forecast parameters, their deviations from the normal level, the short-term changes in seismicity rates using a magnitude–frequency relationship and finally to correlate the data with recorded seismic events. The results of anomaly detection, effect evaluation and data analysis alert the beneficiaries specialized in emergency situations (Inspectorate for Emergency Situations, organizations involved in managing special events). Standard methods such as the standard deviation from the mean value, time gradient, cross correlation, and linear regression are customized for the geological specificity of the area under investigation. For detection we use the short-time-average through long-time-average trigger (STA/LTA) method on time-integral data and the daily–seasonal variation of parameters is correlated with atmospheric conditions to avoid false decisions. The probability and epistemic uncertainty of the gas emissions resulting from this study, in addition to other precursor factors such as air ionization, time between earthquakes, temperature in the borehole, telluric currents, and Gutenberg Richter “a-b” parameters, act as inputs into a logical decision tree, indicating the possibility of implementing an OEF application for the Vrancea area. This study is novel in its analysis of the Vrancea area and performs a seismic forecasting procedure in a new form compared to the known ones.

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A New Method of Low Amplitude Signal Detection and Its Application in Acoustic Emission

Cited by 20 publications

References 58 publications

A Time-Frequency Based Approach for Acoustic Emission Assessment of Sliding Wear

A Time-Frequency Based Approach for Acoustic Emission Assessment of Sliding Wear

Challenges and Accomplishments in Mechanical Testing Instrumented by In Situ Techniques: Infrared Thermography, Digital Image Correlation, and Acoustic Emission

Monitoring of Gas Emissions in Light of an OEF Application

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