基于功率谱概率密度函数检测测震台网JOPENS系统数据异常

Real-time assessment of seismic network JOPENS system data quality based on PDF method

采用功率谱概率密度函数(PDF)方法,计算、生成内蒙古测震台网JOPENS系统观测数据任意时间段PSD曲线、PDF图,并分析其不同频段时空变化特性,可检测JOPENS系统MySQL数据库传递函数灵敏度、零极点、归一化因子与实际观测仪器参数一致性,最终实现内蒙古测震台网JOPENS系统观测数据的异常检测。

This paper calculated and generated PSD values and PDF charts of network observation data at any time period by using the Power Spectrum Probability Density Function(PDF)method.The spatio-temporal variation characteristics in different frequency bands were analyzed in order to complete the real-time assessment of the seismic network JOPENS system data quality of the digital seismic network in the Inner Mongolia Autonomous Region.The results show that PDF not only reflects the background noise level of the station but also monitors the quality of station operation and evaluates the accuracy of the response parameters of the JOPENS system.