A Dual-Task Approach for Onset Time Picking and the Detection of Microseismic Waveforms Based on Deep Learning

A Dual-Task Approach for Onset Time Picking and the Detection of Microseismic Waveforms Based on Deep Learning

Construction projects in deep underground engineering are associated with the recording of massive amounts of diversified signals during real time and continuous microseismic monitoring given the complexity and specificity of the construction environment. Before the analysis of source information an...

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Bibliographic Details
Main Authors: Hang Zhang, Ruoyu Li, Chunchi Ma, Xiaobing Cheng, Simeng Meng, Zhenxing Huang, Di Li
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
deep learning
microseismic monitoring
dual-task neural network
onset time picking
waveform detection
Online Access:https://www.mdpi.com/2076-3417/14/24/11689
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