Noise Reduction Based on Improved Variational Mode Decomposition for Acoustic Emission Signal of Coal Failure

Jing, Gang; Zhao, Yixin; Gao, Yirui; Montanari, Pedro Marin; Lacidogna, Giuseppe

doi:10.3390/app13169140

Cited by 4 publications

(4 citation statements)

References 36 publications

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“…AE not only encompasses spatial information regarding internal fractures in complex materials but also conveys the temporal and frequency information associated with the evolution of material fracture. The temporal patterns and frequency characteristics of AE time-frequency feature parameters have been extensively studied and reported [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Study of Time–Frequency Domain of Acoustic Emission Precursors in Rock Failure during Uniaxial Compression

Jing,

Marin Montanari,

Lacidogna

2024

Signals

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Predicting rock bursts is essential for maintaining worker safety and the long-term growth of subsurface infrastructure. The purpose of this study is to investigate the precursor reactions and processes of rock instability. To determine the degree of rock damage, the research examines the time-varying acoustic emission (AE) features that occur when rocks are compressed uniaxially and introduces AE parameters such as the b-value, γ-value, and βt-value. The findings suggest that the evolution of rock damage during loading is adequately reflected by the b-value, γ-value, and βt-value. The relationships between b-value, γ-value, and βt-value are studied, as well as the possibility of using these three metrics as early-warning systems for rock failure.

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Section: Introductionmentioning

confidence: 99%

Study of Time–Frequency Domain of Acoustic Emission Precursors in Rock Failure during Uniaxial Compression

Jing,

Marin Montanari,

Lacidogna

2024

Signals

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“…Now more and more experts apply the b-value of AE to geotechnical engineering and have achieved fruitful results 40 . Uniaxial compression tests were carried out to investigate the b-value characteristics and the denoised AE signal’s spectral multifractal features are analyzed 41 , 42 . The characteristics of AE b-value and material fracture evolution of backfills with different ratios of cement and tailings under compression were studied through uniaxial compression AE tests 43 .…”

Section: Introductionmentioning

confidence: 99%

Monitoring warning criterion of acoustic emission active waveguide system based on loess deformation and failure

Zhang,

Wang,

Meng

2024

Sci Rep

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The construction of acoustic emission criterion system is crucial for monitoring and providing early warning of geological hazards. In the current soil acoustic emission monitoring methods, the signal generated by soil deformation and failure is weak and experiences high attenuation, resulting in a low level of the monitored signal. One approach to enhance the quality of monitoring data is by utilizing the active waveguide model. However, the current research on the active waveguide model system is not extensive. To address these issues, a set of active waveguide system was designed to improve the data quality of acoustic emission monitoring and early warning. The deformation and failure process of loess monitored by acoustic emission was divided into stages, and the precursor information of acoustic emission for geological disasters in loess areas was comprehensively deconstructed. The data quality advantage of the active waveguide model was verified through comparative experiments of with the passive waveguide model. This study investigates the AE signal characteristics of the active waveguide model. It explores various aspects such as the AE waveform parameter characteristics, the discrimination method for failure mode based on RA–AF value, the AE r-value characteristics, the AE b-value characteristics, and the frequency-amplitude characteristics. The study reveals the evolution law of AE signals in the active waveguide model, including early warning signs and failure morphological characteristics. Furthermore, it constructs a warning criterion for the active waveguide system. The development of this criterion system is of great importance in guiding the monitoring and early warning of geological disasters in loess areas.

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“…Wu 28 carried out a uniaxial compression test on the masonry specimens and investigated the relationship between the acoustic emission parameters and the damage. Jing 29 has proposed a new noise cancellation method to analyse the acoustic emission signal after noise cancellation, which avoids modal mixing and improves efficiency. Zhang 30 found that coal rocks of different burial depths exhibited different mechanical properties and damage patterns when subjected to triaxial cyclic loading.…”

Section: Introductionmentioning

confidence: 99%

Acoustic emission characteristics and energy evolution law of rock damage process of different pore structures under cyclic loading

Jiang,

Dang,

Chen

et al. 2024

Sci Rep

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The AE and damage characteristics of three types of pore-structured rock under the same working conditions are studied by means of uniaxial cyclic loading and unloading tests. The results suggest that with repeated loading and unloading, AE ringing increases as a “jump”, and the denser the structure, the earlier the “jump” occurs. The AE cumulative energy shows a “step” upward trend, but there is a significant difference in the “step” spacing. By comparing the energy distribution of rocks with different pore structures, it can be seen that the smaller the porosity and the smaller the pore size, the greater the energy input and storage, and the earlier the internal failure. Compared with the other two energy-based damage calculation methods, the damage calculation method defined in this paper is closer to the true internal damage level of the rock loading cycle. The NSE value of the modified damage variable calculation method was significantly improved and it was shown that the dissipated energy before pore compaction is the main energy causing damage, after pore compaction the combined effects of dissipated energy and plastic deformation energy result in rock damage.

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Noise Reduction Based on Improved Variational Mode Decomposition for Acoustic Emission Signal of Coal Failure

Cited by 4 publications

References 36 publications

Study of Time–Frequency Domain of Acoustic Emission Precursors in Rock Failure during Uniaxial Compression

Study of Time–Frequency Domain of Acoustic Emission Precursors in Rock Failure during Uniaxial Compression

Monitoring warning criterion of acoustic emission active waveguide system based on loess deformation and failure

Acoustic emission characteristics and energy evolution law of rock damage process of different pore structures under cyclic loading

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