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Performance Evaluation of Hard Rock TBMs considering Operational and Rock Conditions
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Quantitative Characterization of Tight Rock Microstructure of Digital Core
Published 2022-01-01“…This paper is helpful for quantitative evaluation of reservoir microscopic parameters and provides technical support for visualization and quantitative characterization of rock microstructure.…”
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THEORETICAL ANALYSIS AND EXPERIMENTAL STUDY USED FOR SOUND QUALITY OF INVERTER AIR CONDITIONER NOISE
Published 2016-01-01“…Then,the"rock"noise and periodic"buzz"noise are analyzed in detail,and system dynamic balance and beat are main reasons. …”
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Application of improved and efficient image repair algorithm in rock damage experimental research
Published 2024-06-01“…Digital image technology is vulnerable to interference from fractures and scaling, leading to potential loss of image data; while acoustic emission technology is not hindered by these issues, noise from rock destruction can interfere with the electrical signals, causing errors. …”
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Study on the Mathematical Model and Propagation Characteristics of AE Waveform Signals during Rock Fracture
Published 2021-01-01“…During signal propagation, the comprehensive effects of such factors as the heterogeneity, anisotropy, and viscosity of rocks as well as environmental noise weaken the energy of the signals and enhance the distribution of signal frequency. …”
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Method Improvement and Effect Analysis of Triaxial Compression Acoustic Emission Test for Coal and Rock
Published 2019-01-01“…Owing to the continuous obstruction of AE signals by hydraulic oil in the triaxial chamber and the frequent interference of external noises, the final experimental data cannot objectively and truly reflect the essential characteristics of AE of rock or coal under triaxial compression conditions. …”
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A Novel Improved Maximum Entropy Regularization Technique and Application to Identification of Dynamic Loads on the Coal Rock
Published 2019-01-01“…Meanwhile, the proposed IMER technique can also play a guiding role for the coal-rock interface identification.…”
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Research on Coal-Rock Fracture Image Edge Detection Based on Tikhonov Regularization and Fractional Order Differential Operator
Published 2019-01-01“…Aiming at the conventional image edge detection algorithm, the first-order differential edge detection method is easy to lose the image details and the second-order differential edge detection method is more sensitive to noise. To deal with the problem, the Tikhonov regularization method is adopted to reconstruct the input coal-rock infrared images, so as to reduce the noise interference, and then, the reconstructed image is transformed by gray level. …”
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Research on time–frequency characteristics of electromagnetic signals from coal and rock blasting based on DBO-VMD filtering
Published 2025-03-01“…In shaft mining, conventional vibration monitoring of blasting operations is often affected by environmental factors and system limitations, complicating the extraction of coal–rock rupture signals. This paper explores the use of electromagnetic radiation signals for blasting monitoring, introducing a noise reduction method for these signals and examining the time–frequency characteristics of the pure signals. …”
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Research on the development height of water-conducting fracture zone in overburden rock based on transient electromagnetic method in hole
Published 2025-01-01“…The research results showed that the borehole transient electromagnetic method can effectively complete the task of detecting anomalous bodies. The signal-to-noise ratio can be improved by adjusting the position of the transmitter-receiver devices. …”
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Potential and limitations of noise-based surface-wave tomography for numerical site effect estimation: a case study in the French Rhône valley
Published 2024-07-01“…Prior to this work, this noise data was used to build a 3D shear-wave velocity (VS) model of the target site via ANSWT, and also to estimate seismic amplification via noise-based Standard Spectral Ratios (SSRn). …”
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« LE PAYSAGE SONORE » DE MURRAY R. SCHAFER
Published 2012-06-01“… Who has the right to make the most noise in the world? The churches’ bells in the old times, the loudspeakers in Hitler’s era, planes taking off in the airports, police sirens, rock bands? …”
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Deep Learning-Based Methods for Lithology Classification and Identification in Remote Sensing Images
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HVSR Analysis of Rockslide Seismic Signals to Assess the Subsoil Conditions and the Site Seismic Response
Published 2018-01-01“…However, a significant correlation between temperature data and the horizontal to vertical spectral ratio trend of the seismic noise could be identified. This can be related to the indirect effect of temperature on rock mass conditions and further extensive studies (also in the time frequency domain) are required to better comprehend this dependency. …”
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Experiment Analysis of Drilling Feedback Signal from Simulation of Roadway Roof
Published 2022-01-01“…To simulate the condition of unstable rock formation in the stable rock formation of the roadway roof, the complete and broken rock formations on the roadway roof were simulated by superimposing and combining complete specimens and broken specimens, hence providing an appropriate way to obtain the drilling vibration signals to find regular patterns which can be used to judge the state of the rock layers. …”
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Automatic Classification of Microseismic Signals Based on MFCC and GMM-HMM in Underground Mines
Published 2019-01-01“…A dataset that contains a representative set of different microseismic events including rock mass rupture, blasting vibration, mechanical drilling, and electromagnetic noise is collected for training and testing. …”
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Vibration Signal Analysis of Water Seal Blasting Based on Wavelet Threshold Denoising and HHT Transformation
Published 2020-01-01“…The blasting vibration signal obtained from tunnel construction monitoring is affected by the external environment, which contains a lot of noise that causes distortion during signal processing. …”
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Research on acoustic emission precursor characteristics of coal sample unloading failure based on discrete wavelet analysis
Published 2024-12-01“…Abstract Acoustic emission information can describe the damage degree of rock samples in the process of failure. However, as a discrete non-stationary signal, acoustic emission information is difficult to be effectively processed by conventional methods, while wavelet analysis is an effective method for non-stationary signal processing. …”
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