dc.contributor.author | Lokajíček, Tomáš | |
dc.contributor.author | Klíma, Karel | |
dc.date.accessioned | 2007-12-19T07:03:43Z | |
dc.date.available | 2007-12-19T07:03:43Z | |
dc.date.issued | 2007 | |
dc.identifier.citation | Sborník vědeckých prací Vysoké školy báňské - Technické univerzity Ostrava. Řada stavební. 2007, roč. 7, č. 2, s. 175-182 : il. | en |
dc.identifier.issn | 1213-1962 | en |
dc.identifier.uri | http://hdl.handle.net/10084/64536 | |
dc.description.abstract | One of the fundamental problems in non-destructive testing and geophysics is the precise determination of the first arrival of acoustic emission (AE) signals (or seismic signals) recorded by multi-channel systems. The knowledge of this time is very important, mainly in the case of automatic localization of individual AE events. Several approaches are routinely used in practice as crossing of the threshold level, analysis of the STA/LTA (short-time average/long-time average), etc. In our contribution, an approach based on high-order statistics (HOS) that is able to carry out precise arrival time determination without human intervention is presented. The approach was tested using real AE data recorded by 8 channel recording system. This simple, accurate and quite fast method is predetermined to be used in automatic processing of transient waveform data from acoustic emission, seismic signals, ultrasonic sounding, etc. | |
dc.language.iso | en | en |
dc.publisher | Vysoká škola báňská - Technická univerzita Ostrava | en |
dc.relation.ispartofseries | Sborník vědeckých prací Vysoké školy báňské - Technické univerzity Ostrava. Řada stavební | en |
dc.rights | © Vysoká škola báňská - Technická univerzita Ostrava | cs |
dc.subject | high-order statistics | |
dc.subject | acoustic emission | |
dc.subject | first arrival identification | |
dc.title | Stanovení času příchodu seismických/ultrazvukových signálů pomocí statistických momentů vyšších řádů | en |
dc.title.alternative | Determination of first arrival time of seismic/ultrasonic signals by means of high order statistic approach | en |
dc.type | article | en |
dc.rights.access | openAccess | |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |