Real-Time Recognition Method for Key Signals of Rock Fracture Acoustic Emissions Based on Deep Learning

Real-Time Recognition Method for Key Signals of Rock Fracture Acoustic Emissions Based on Deep Learning

The characteristics of acoustic emission signals generated in the process of rock deformation and fission contain rich information on internal rock damage. The use of acoustic emissions monitoring technology can analyze and identify the precursor information of rock failure. At present, in the field...

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Bibliographic Details
Main Authors: Lin Sun, Lisen Lin, Xulong Yao, Yanbo Zhang, Zhigang Tao, Peng Ling
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Sensors
Subjects:
short-time Fourier transform
Mel spectrum
convolutional networks
acoustic emission
signal recognition
Online Access:https://www.mdpi.com/1424-8220/23/20/8513

Internet

https://www.mdpi.com/1424-8220/23/20/8513

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