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- W2385779023 abstract "The research on seismic signal processing,analysis,and further discrimination of earthquakes and explosions plays a fundamental role in the development of seismology and other geosciences.And explosion event recognition,especially nuclear explosion recognition,is indispensable for public welfare and world peace.This paper introduces some important results of our research project:Classification and Decision Support System for Recognizing Natural Earthquake Events and Explosion Events.The selected raw data are the up-down components of 5 observatory stations which are the nearest ones to the epicenters of 35 earthquake events occurred during the years of 2003~2007 and 27 explosion events occurred during the years of 2002~2008.From the raw waveform data,3 features:ratio of the maximal amplitude of S-Wave and P-Wave,cepstral variance,maximum of autocorrelation,are extracted.And based upon Hilbert-Huang Transform(HHT) principle,by means of empirical mode decomposition(EMD) method,original waves are decomposed into about 10 intrinsic mode functions(IMFs).These 3 features are also extracted from each of the IMFs for every selected wave signals.The acquired about features samples are randomly partitioned into training sample set and testing sample set.Finally,Support vector machine(SVM) classifier for discriminating earthquake and explosion events are built and trained by training sample set and tested by testing sample set.Such a process of samples-partition,training,testing are reiterated 100 times.The results show that these 3 features extracted from IMFs after EMD is better than those extracted from raw signal with higher correct recognition rate.This implies EMD processing of seismic wave is beneficial for recognition of earthquake and explosion events and deserves more intensive research." @default.
- W2385779023 created "2016-06-24" @default.
- W2385779023 creator A5050562433 @default.
- W2385779023 date "2012-01-01" @default.
- W2385779023 modified "2023-09-24" @default.
- W2385779023 title "Study on seismic signal features extraction based on EMD" @default.
- W2385779023 hasPublicationYear "2012" @default.
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