Microseism Detection Method in Coal Mine Based on Spatiotemporal Characteristics and Support Vector Regression Algorithm

In view of the inconsistency of guided wave energy in distributed acoustic sensing coal mine maps and the difficulty in distinguishing the vibration levels of coal mines, which leads to the poor sensitivity and accuracy of microseism detection, a coal mine microseism detection method based on time–s...

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Bibliographic Details
Published in:	Applied sciences Vol. 13; no. 17; p. 9917
Main Authors:	Gao, Hong, Mu, Chaomin, Sun, Hui
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.09.2023
Subjects:	Accuracy Algorithms Analysis Coal industry coal mine microseism Coal mining Datasets feature extraction Geology International economic relations Markov analysis Markov chain Markov processes Mathematical optimization Methods Mineral industry Mines Mining industry Neural networks particle swarm optimization Random variables Sensors spatiotemporal characteristics support vector regression algorithm Wave power
ISSN:	2076-3417, 2076-3417
Online Access:	Get full text
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