Machine Learning Based Identification of Microseismic Signals Using Characteristic Parameters

Machine Learning Based Identification of Microseismic Signals Using Characteristic Parameters

Microseismic monitoring system is one of the effective means to monitor ground stress in deep mines. The accuracy and speed of microseismic signal identification directly affect the stability analysis in rock engineering. At present, manual identification, which heavily relies on manual experience,...

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Bibliographic Details
Main Authors: Kang Peng, Zheng Tang, Longjun Dong, Daoyuan Sun
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Sensors
Subjects:
microseismic monitoring
machine learning
source parameters
signal identification
Online Access:https://www.mdpi.com/1424-8220/21/21/6967

Internet

https://www.mdpi.com/1424-8220/21/21/6967

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