The invention provides a
rock burst migration identification method based on a Weibull
hybrid model, and relates to the technical field of
coal mine safety, and the method comprises the steps: obtaining historical micro-seismic
monitoring data of any reference
coal mine, and constructing a corresponding reference anomaly identification model which is used for determining the anomaly probability of any reference
coal mine; target micro-seismic data of the target coal mine are obtained, the target micro-seismic data are mapped to any reference anomaly identification model, a target
data set corresponding to the target micro-seismic data is obtained, and the target
data set comprises
multiple target samples corresponding to the target micro-seismic data; and obtaining an abnormal probability of the target sample in any reference abnormal identification model, and determining whether the target micro-seismic data is abnormal based on the abnormal probability. The problem of constructing a coal mine micro-seismic anomaly identification model under the conditions of insufficient micro-seismic data and unmarked data is solved, and the micro-seismic anomaly state identification capability is improved.