前兆观测异常数据检测方法研究

Study on the Detecting Method of Abnormal Earthquake Precursor Observation Data

借鉴数据挖掘中的算法,本文设计了一种前兆时序模式表示方法,利用该方法可以快速检测数据序列中大幅突跳、阶跃等比较明显的异常数据。实际观测数据应用结果表明,该方法对于大量数据的异常检测效率很高,对前兆数据的预处理工作具有积极意义。

Based on the data mining algorithms, a pattern representation method was designed to express the earthquake observation time series. By using this method, the obvious abnormal cases could be detected rapidly, such jumping sharply, and steps, etc..The results of the actual observation data application shows that this method works very effectively on the anomaly detection of massive data. It makes significant senses for the preprocessing work of earthquake precursor observation data.