Applying Machine Learning and Automatic Speech Recognition for Intelligent Evaluation of Coal Failure Probability under Uniaxial Compression

Applying Machine Learning and Automatic Speech Recognition for Intelligent Evaluation of Coal Failure Probability under Uniaxial Compression

Acoustic emission (AE) monitoring is an effective tool to quantify the dynamic damage that may cause heavy casualties and huge property losses in rock engineering. Instead of traditional failure evaluation methods, in this paper, the coal failure mechanism is evaluated in a complicated geological en...

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Bibliographic Details
Main Authors:	Honglei Wang, Zhenlei Li, Dazhao Song, Xueqiu He, Majid Khan
Format:	Article
Language:	English
Published:	MDPI AG 2022-11-01
Series:	Minerals
Subjects:	probability of coal failure acoustic emission automatic speech recognition machine learning category weight of the sample
Online Access:	https://www.mdpi.com/2075-163X/12/12/1548

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