Parametricandnonlinearfeatureextractionofnuclearexplosions

andearthquakesbasedonVolterraseries

HAN Shao-qing; LI Xi-hai; WU Hai-jun; LIU Dai-zhi

doi:10.11883/1001-1455(2011)03-0237-06

Volume 31 Issue 3

May 2014

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HAN Shao-qing, LI Xi-hai, WU Hai-jun, LIU Dai-zhi. ParametricandnonlinearfeatureextractionofnuclearexplosionsandearthquakesbasedonVolterraseries[J]. Explosion And Shock Waves, 2011, 31(3): 237-242. doi: 10.11883/1001-1455(2011)03-0237-06

Citation:

HAN Shao-qing, LI Xi-hai, WU Hai-jun, LIU Dai-zhi. Parametricandnonlinearfeatureextractionofnuclearexplosions andearthquakesbasedonVolterraseries[J]. Explosion And Shock Waves, 2011, 31(3): 237-242. doi: 10.11883/1001-1455(2011)03-0237-06

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Parametricandnonlinearfeatureextractionofnuclearexplosions andearthquakesbasedonVolterraseries

doi: 10.11883/1001-1455(2011)03-0237-06

1.
Xi’anHi-TechInstitute,Xi’an710025,Shaanxi,China

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Corresponding author: HAN Shao-qing
Publish Date: 2011-05-25

Abstract

Abstract

ARMAparameterscanbeusedasfeaturesfordiscriminationbetweennuclearexplosions andearthquakes.Currentmethodsforfeatureextractionarelinearandonlytakesadvantageofthe second-orderstatistic,sotheclassificationaccuracyofisnothigh.Tosolvethisproblem,amethod forextractingnonlinearfeaturesofnuclearexplosionsandearthquakeswasproposedbasedonthechaoticfeatureofseismicwaves. Firstly,thephasespaceofseismicwaveswasreconstructed.Secondly, theadaptivepredictionmodelbasedonVolterraserieswasestablishedinthephasespace.Finally,the modelparametersweretakenasthefeaturesofseismicsamples.Intheclassificationexperimentofof nuclearexplosionsandearthquakes,nonlinearfeaturesobtainedbetterperformancethanlinearfeatures. Investigatedresultsshowthatthecombinationoflinear,nonlinearandhigher-orderstatistical informationiscriticalfortheclassificationofnuclearexplosionsandearthquakes.
- mechanicsofexplosion,
- featureextraction,
- nonlinearity\Volterraseries\chaos,
- nuclear explosionsandearthquakes,