Identification of similar seismic events using a phase-only correlation technique

Hirokazu Moriya

doi:10.1016/j.conbuildmat.2018.03.053

Identification of similar seismic events using a phase-only correlation technique

Hirokazu Moriya

ENG - Graduate School of Engineering (Common)

Research output: Contribution to journal › Article › peer-review

Abstract

Identification and clustering of similar acoustic emission (AE) events are important to determine source locations precisely and to evaluate subsurface cracks. An AE cluster analysis method using phase-only correlation (POC) is proposed to identify and hierarchically classify similar AE waveforms. The POC of time-varying spectral representations is used to evaluate the similarity between two waveform images in the time–frequency domain, and cluster analysis is used to classify the waveforms into groups according to a distance measure. The method is applied to waveforms from local earthquakes in Japan to assess its ability to identify similar waveforms perturbed by white noise.

Original language	English
Pages (from-to)	984-987
Number of pages	4
Journal	Construction and Building Materials
Volume	168
DOIs	https://doi.org/10.1016/j.conbuildmat.2018.03.053
Publication status	Published - 2018 Apr 20

Keywords

Phase-only correlation
Similar waveform
Time-varying spectral representation

ASJC Scopus subject areas

Civil and Structural Engineering
Building and Construction
Materials Science(all)

Access to Document

10.1016/j.conbuildmat.2018.03.053

Cite this

@article{e0921700f7f14aaf90bdab3bd8d704eb,

title = "Identification of similar seismic events using a phase-only correlation technique",

abstract = "Identification and clustering of similar acoustic emission (AE) events are important to determine source locations precisely and to evaluate subsurface cracks. An AE cluster analysis method using phase-only correlation (POC) is proposed to identify and hierarchically classify similar AE waveforms. The POC of time-varying spectral representations is used to evaluate the similarity between two waveform images in the time–frequency domain, and cluster analysis is used to classify the waveforms into groups according to a distance measure. The method is applied to waveforms from local earthquakes in Japan to assess its ability to identify similar waveforms perturbed by white noise.",

keywords = "Phase-only correlation, Similar waveform, Time-varying spectral representation",

author = "Hirokazu Moriya",

note = "Funding Information: Part of this work was supported by a Grant-in-Aid for Scientific Research (A) (26249137) from the Ministry of Education, Culture, Sports, Science and Technology of Japan . I thank the National Research Institute for Earth Science and Disaster Resikience (NIED) of Japan for providing the earthquake waveform data, which were downloaded from the NIED website (http://www.hinet.bosai.go.jp/). Publisher Copyright: {\textcopyright} 2018 Elsevier Ltd",

year = "2018",

month = apr,

day = "20",

doi = "10.1016/j.conbuildmat.2018.03.053",

language = "English",

volume = "168",

pages = "984--987",

journal = "Construction and Building Materials",

issn = "0950-0618",

publisher = "Elsevier Limited",

}

TY - JOUR

T1 - Identification of similar seismic events using a phase-only correlation technique

AU - Moriya, Hirokazu

N1 - Funding Information: Part of this work was supported by a Grant-in-Aid for Scientific Research (A) (26249137) from the Ministry of Education, Culture, Sports, Science and Technology of Japan . I thank the National Research Institute for Earth Science and Disaster Resikience (NIED) of Japan for providing the earthquake waveform data, which were downloaded from the NIED website (http://www.hinet.bosai.go.jp/). Publisher Copyright: © 2018 Elsevier Ltd

PY - 2018/4/20

Y1 - 2018/4/20

N2 - Identification and clustering of similar acoustic emission (AE) events are important to determine source locations precisely and to evaluate subsurface cracks. An AE cluster analysis method using phase-only correlation (POC) is proposed to identify and hierarchically classify similar AE waveforms. The POC of time-varying spectral representations is used to evaluate the similarity between two waveform images in the time–frequency domain, and cluster analysis is used to classify the waveforms into groups according to a distance measure. The method is applied to waveforms from local earthquakes in Japan to assess its ability to identify similar waveforms perturbed by white noise.

AB - Identification and clustering of similar acoustic emission (AE) events are important to determine source locations precisely and to evaluate subsurface cracks. An AE cluster analysis method using phase-only correlation (POC) is proposed to identify and hierarchically classify similar AE waveforms. The POC of time-varying spectral representations is used to evaluate the similarity between two waveform images in the time–frequency domain, and cluster analysis is used to classify the waveforms into groups according to a distance measure. The method is applied to waveforms from local earthquakes in Japan to assess its ability to identify similar waveforms perturbed by white noise.

KW - Phase-only correlation

KW - Similar waveform

KW - Time-varying spectral representation

UR - http://www.scopus.com/inward/record.url?scp=85043399369&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85043399369&partnerID=8YFLogxK

U2 - 10.1016/j.conbuildmat.2018.03.053

DO - 10.1016/j.conbuildmat.2018.03.053

M3 - Article

AN - SCOPUS:85043399369

VL - 168

SP - 984

EP - 987

JO - Construction and Building Materials

JF - Construction and Building Materials

SN - 0950-0618

ER -

Identification of similar seismic events using a phase-only correlation technique

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this