Research on the identification of electromagnetic radiation and acoustic emission precursor signals of rock burst

In this paper, the extraction of precursor signals in acoustic emission and electromagnetic radiation and the identification of precursor signal time intervals are studied. Firstly, the auto-covariance function, Kendall standardized variables and Mann-Kendall standardized variables are selected as the trend characteristics, and the stationarity analysis and trend test are carried out. Then, the support vector machine model is established with these three precursory features as input vectors. Finally, the time interval of the precursor signal is found by numerical experiments.