Feature Extraction of Mine Water Inrush Precursor

Feature Extraction of Mine Water Inrush Precursor

Coal water inrush acoustic emission (AE) signal is characterized by time varying, nonstationary, unpredictable and transient properties. To extract effective features representing coal water inrush information, the AE signal is analyzed by the wavelet characteristic energy spectrum coefficient based...

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Bibliographic Details
Main Authors: Ye Zhang, Yang Zhang, Xuguang Jia, Huashuo Li, Shoufeng Tang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Coal water inrush
acoustic emission
wavelet feature coding
wavelet characteristic energy spectrum
wavelet theory
Online Access:https://ieeexplore.ieee.org/document/9187876/

Internet

https://ieeexplore.ieee.org/document/9187876/

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