A Method of Time-Frequency Analysis and Feature Extracts of Microseism Signal

摘要

Aiming at solving the problem that the feature of microseism signal is difficult to extract, a time-frequency analysis and classification method based on rearranged ST-NMF are proposed. Firstly, microseism signal is transformed into the time-frequency matrix by S transform, and the rearrangement is carried out in the frequency direction. Then, the decomposition vector of time and frequency domain is obtained by using the nonnegative matrix factorization technique, extracting the macro- and micro-statistics to construct the feature space of the signal. Finally, classify the feature space. The results of the experiment in the SAN Daogou show that the spectral resolution of the rearranged ST is significantly higher than that of the ST. The accuracy rate reaches 97% after multiclass classifier recognition.