独立分量分析在爆破振动信号分离中的应用初探

独立分量分析在爆破振动信号分离中的应用初探

赵明生, 张建华, 易长平

文章导航 > 爆炸与冲击 > 2011 > 31(2): 191-195

赵明生, 张建华, 易长平. 独立分量分析在爆破振动信号分离中的应用初探[J]. 爆炸与冲击, 2011, 31(2): 191-195. doi: 10.11883/1001-1455(2011)02-0191-05

引用本文:

赵明生, 张建华, 易长平. 独立分量分析在爆破振动信号分离中的应用初探[J]. 爆炸与冲击, 2011, 31(2): 191-195. doi: 10.11883/1001-1455(2011)02-0191-05

ZHAO Ming-sheng, ZHANG Jian-hua, YI Chang-ping. PrimaryinvestigationontheapplicationofICAtoblastingvibrationsignalseparation[J]. Explosion And Shock Waves, 2011, 31(2): 191-195. doi: 10.11883/1001-1455(2011)02-0191-05

Citation:

ZHAO Ming-sheng, ZHANG Jian-hua, YI Chang-ping. PrimaryinvestigationontheapplicationofICA toblastingvibrationsignalseparation[J]. Explosion And Shock Waves, 2011, 31(2): 191-195. doi: 10.11883/1001-1455(2011)02-0191-05

赵明生, 张建华, 易长平. 独立分量分析在爆破振动信号分离中的应用初探[J]. 爆炸与冲击, 2011, 31(2): 191-195. doi: 10.11883/1001-1455(2011)02-0191-05

引用本文:

赵明生, 张建华, 易长平. 独立分量分析在爆破振动信号分离中的应用初探[J]. 爆炸与冲击, 2011, 31(2): 191-195. doi: 10.11883/1001-1455(2011)02-0191-05

ZHAO Ming-sheng, ZHANG Jian-hua, YI Chang-ping. PrimaryinvestigationontheapplicationofICAtoblastingvibrationsignalseparation[J]. Explosion And Shock Waves, 2011, 31(2): 191-195. doi: 10.11883/1001-1455(2011)02-0191-05

Citation:

ZHAO Ming-sheng, ZHANG Jian-hua, YI Chang-ping. PrimaryinvestigationontheapplicationofICA toblastingvibrationsignalseparation[J]. Explosion And Shock Waves, 2011, 31(2): 191-195. doi: 10.11883/1001-1455(2011)02-0191-05

独立分量分析在爆破振动信号分离中的应用初探

doi: 10.11883/1001-1455(2011)02-0191-05

1.
武汉理工大学资源与环境工程学院,湖北武汉430070

通讯作者:
赵明生

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出版历程
- 刊出日期: 2011-03-25

PrimaryinvestigationontheapplicationofICA toblastingvibrationsignalseparation

1.
SchoolofResourceandEnvironmentEngineering,WuhanUniversityofTechnology,

More Information

Corresponding author: ZHAO Ming-sheng

摘要: 综合运用小波分析和独立分量分析对实测的2孔微差爆破振动试验信号进行分离研究。采用小波分析分解滤去爆破振动信号能量比低的高频部分,提取主要特征所在的频段的重构信号,然后运用独立分量分析(independentcomponentanalysis,ICA)对其重构信号进行分离,初步成功获得了体现现场实际情况的分段震波,确定了分段震波的实际微差间隔时间。
- 爆炸力学 /
- 独立分量分析 /
- 小波分析 /
- 振动信号 /
- 微差爆破
Abstract: Waveletanalysisandindependentcomponentanalysis(ICA)wereintegrallyappliedtoinvestigatetheseparationofthemeasuredshort- delayblastingvibrationsignalsintwodrillingholes. Waveletanalysiswasusedtofilteroutthehigh-frequencysignalwithalowerenergyratiointheblastingvibrationsignalsandtoextractthereconstructedsignalsinthefrequencyrangwiththem infeatures. ThereconstructedsignalswereseparatedusingICA.Thesegmentalseismicwavesweresuccessfullyobtained, whichcouldreflectthepracticalsituation.Andtheactualshort-delayintervaltime ofthesegmentalseismicwaveswasdetermined.ItisindicatedthatICAishelpfulforblastingvibrationsignalprocessing.
- mechanicsofexplosion /
- ICA /
- milliseconddelayfiring /
- vibrationsignal /
- waveletanalysis

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文章访问数: 2266
HTML全文浏览量: 106
PDF下载量: 219
被引次数: 0

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