A method for identifying microseism signals based on data mining

Abstract

In view of the difficulty of identifying the microseism signals, the present invention proposes a microseism signal recognition algorithm based on data mining. Firstly, ST is used to filter, and then using the space–time anomaly detection isolated noise signal and the seismic signal, using data mining to extract the feature information of seismic signals, finally using space–time forecast and classification model to recognize the seismic signal. Experiment result shows that the recognition accuracy of DM is slightly greater than that of LCD and LMD. However, the recognition rate of microseism signal based on DM is significantly smaller than LCD and LMD.