Synchrosqueezed wavelet transform application in mine microseismic monitoring system.

Microseismic monitoring technology is an important ground pressure monitoring method to ensure the safety, efficiency, and sustainable development of mines. The data obtained by microseismic sensors are easily affected by broadband non-stationary noises, resulting in a lack of available high-SNR data for microseismic analysis. This paper introduces a new spectral analysis method-synchrosqueezed wavelet transform, which provides a method for decomposing data into both time and frequency domains and has higher time-frequency resolution than wavelet transform. It can more clearly display the microseismic waveform in the time-frequency spectrum. Meanwhile, this paper compares the impact of the Morlet wavelet basis and Bump wavelet basis on microseismic waveforms and verified the relative reliability of the Morlet wavelet basis through on-site microseismic monitoring waveforms. The hard threshold filtering method based on noise level is used here to verify that the synchrosqueezed wavelet transform based on the Morlet wavelet basis has great practical value in extracting microseismic signals from raw data, and can effectively improve the SNR of the signal. [ABSTRACT FROM AUTHOR]