A new method of low amplitude signal detection and its application in acoustic emission

E Agletdinov, D Merson, A Vinogradov - Applied sciences, 2019 - mdpi.com
Featured Application Acoustic emission signal detection, seismology, ultrasonic inspections,
non-destructive condition monitoring. Abstract A novel methodology is proposed to enhance …

First arrival picking of microseismic signals based on nested U-Net and Wasserstein Generative Adversarial Network

JL Zhang, GQ Sheng - Journal of Petroleum Science and Engineering, 2020 - Elsevier
Picking the first arrival of microseismic signals, quickly and accurately, is the key for real-time
data processing of microseismic monitoring. The traditional method cannot meet the high …

A new two-stage strategy to adaptively design and finely tune the filters for bearing fault-related mode decomposition

B Zhang, Y Miao, J Lin, Z Liu - Measurement, 2023 - Elsevier
Fault-excited repetitive transients are apt to be submerged in unavoidable noise. Till now,
most vibration-based diagnostic methods just reject the noise outside the optimal frequency …

Relocating mining microseismic earthquakes in a 3-D velocity model using a windowed cross-correlation technique

Y Wang, X Shang, K Peng - IEEE Access, 2020 - ieeexplore.ieee.org
Microseismic source location is a fundamental research interest in real-time microseismic
monitoring and hazard risk assessment, and it provides the basis for determining the fracture …

Data field-based K-means clustering for spatio-temporal seismicity analysis and hazard assessment

X Shang, X Li, A Morales-Esteban, G Asencio-Cortés… - Remote Sensing, 2018 - mdpi.com
Microseismic sensing taking advantage of sensors can remotely monitor seismic activities
and evaluate seismic hazard. Compared with experts' seismic event clusters, clustering …

Locating mine microseismic events in a 3D velocity model through the Gaussian beam reverse-time migration technique

Y Wang, X Shang, K Peng - Sensors, 2020 - mdpi.com
Microseismic (MS) source location is a fundamental and critical task in mine MS monitoring.
The traditional ray tracing-based location method can be easily affected by many factors …

[HTML][HTML] Microseismic source location using deep learning: A coal mine case study in China

Y Song, E Wang, H Yang, C Liu, B Li, D Chen - Journal of Rock Mechanics …, 2024 - Elsevier
Microseismic source location is crucial for the early warning of rockburst risks. However, the
conventional methods face challenges in terms of the microseismic wave velocity and arrival …

P-and S-wave arrival time combined Bayesian location method for a microseismic event

Z Luo, X Shang, Y Wang, X Li, ing-hao Liu… - Journal of Central South …, 2023 - Springer
Microseismic (MS) source location is a critical technology in MS monitoring. Traditionally, P-
wave or S-wave travel time-based ray-tracing algorithms are adopted for a mine MS event …

An improved joint method for onset picking of acoustic emission signals with noise

Z Zhou, R Cheng, L Chen, J Zhou, X Cai - Journal of Central South …, 2019 - Springer
The onset times of acoustic signals with spikes, heavy bodies and unclear takeoffs are
difficult to be picked accurately by the automatic method at present. To deal with this …

A Deep-Learning P-Wave Arrival Picker for Laboratory Acoustic Emissions: Model Training and Its Performance

TY Guo, T Vanorio, J Ding - Rock Mechanics and Rock Engineering, 2024 - Springer
The acoustic emission (AE) technique has been widely used in studying the cracking and
frictional behavior of rocks in laboratory rock mechanics tests. Picking P-wave arrivals of AE …