摘要
为了提高微地震信号分析的精度,对模拟振动信号进行了试验,得到了时窗因子对ST(S-Transform)时频分辨率的影响,基于ST的良好时窗自适应性和高时频分辨率,进一步将其应用于泸沽铁矿巷道微地震监测数据的处理。结果表明:ST能准确提取信号属性用以构造特征向量,实现了矿山微地震监测中多源信号的量化分类,并为矿山微地震信号的自动识别与分析提出了新思路。
In order to improve the accuracy of micro seismic signal analysis,the experiments on simulated vibration signals were carried out,and the effect of time window factor on the time- frequency resolution of ST（ S- Transform） was obtained. Based on the good time window adaptability and high time- frequency resolution,the ST time- frequency analysis method was used to process the micro seismic monitoring data in roadway of Lugu iron mine.The result showed that ST can accurately extract the signal attributes to construct feature vectors. It realizes the quantitative classification of multiple source signals in mine micro seismic monitoring,and also proposes a new method for the automatic identification and analysis of micro seismic signals.
出处
《中国安全生产科学技术》
CAS
CSCD
北大核心
2015年第12期79-84,共6页
Journal of Safety Science and Technology
基金
国家自然科学基金项目(41204068)
关键词
S变换
微地震信号
时频分析
信号识别
S-transform
micro seismic signal
time-frequency analysis
signal recognition
