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电子学报  2012 

长周期前驱波的检测及其局域均值能量提取与分类

, PP. 2439-2445

Keywords: 地震预报,前驱波,局域均值分解,支持向量机

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Abstract:

地震预报迄今仍是一个世界性的科学难题,震前地壳内长周期形变前驱波检测的新方法与波形分析研究,可能成为未来地震预测的一个突破点.基于一种新颖的液体悬浮式长周期、超低频前驱波检测技术,实时连续记录了陕西省境内三个地震台站的超低频加速度信号;分析前驱波异常信号与地震发生的关系,发现异常出现与地震发生的关联度为51.59%;进一步利用局域均值分解算法对截取的前驱波异常信号进行分解,计算前五个分量的能量作为特征向量,输入支持向量机进行分类.结果表明,利用创新的前驱波检测技术和局域均值能量特征实现信号识别,异常前驱波均值能量特征与地震发生之间的关联度可达62.24%.

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