Synchrosqueezing Transform-Based Frequency Shifting Detection for Earthquake-Damaged Structures
Analysis based on time-frequency representations provides meaningful interpretations for seismic signals. An application of the synchrosqueezing transform (SST) based on continuous wavelet transform for the detection of frequency shifting of earthquake-damaged structures is introduced in this letter...
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| Veröffentlicht in: | IEEE geoscience and remote sensing letters 2017-08, Vol.14 (8), p.1393-1397 |
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| creator | Kumar, Roshan Sumathi, P. Kumar, Ashok |
| description | Analysis based on time-frequency representations provides meaningful interpretations for seismic signals. An application of the synchrosqueezing transform (SST) based on continuous wavelet transform for the detection of frequency shifting of earthquake-damaged structures is introduced in this letter. The analysis of real-time seismic records of the damaged structures is performed with Wigner-Ville distribution, S-transform, and hybrid transform, which is known as Gabor-Wigner transform. The detection of frequency shifting with SST for synthetic and seismic signals outperforms the other time-frequency distributions tested. SST improves the frequency localization by reducing smearing around frequency components and it also yields good time localization, which is comparable with S-transform. The small variation in the natural frequency of earthquake-damaged structures is detected through SST-based analysis. Hence, we show that SST improves the readability and interpretation of the time-frequency representation of frequency shifting in damaged buildings caused by large earthquakes. |
| doi_str_mv | 10.1109/LGRS.2017.2714428 |
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An application of the synchrosqueezing transform (SST) based on continuous wavelet transform for the detection of frequency shifting of earthquake-damaged structures is introduced in this letter. The analysis of real-time seismic records of the damaged structures is performed with Wigner-Ville distribution, S-transform, and hybrid transform, which is known as Gabor-Wigner transform. The detection of frequency shifting with SST for synthetic and seismic signals outperforms the other time-frequency distributions tested. SST improves the frequency localization by reducing smearing around frequency components and it also yields good time localization, which is comparable with S-transform. The small variation in the natural frequency of earthquake-damaged structures is detected through SST-based analysis. Hence, we show that SST improves the readability and interpretation of the time-frequency representation of frequency shifting in damaged buildings caused by large earthquakes.</description><identifier>ISSN: 1545-598X</identifier><identifier>EISSN: 1558-0571</identifier><identifier>DOI: 10.1109/LGRS.2017.2714428</identifier><identifier>CODEN: IGRSBY</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Analysis ; Buildings ; Components ; Continuous wavelet transform ; Continuous wavelet transforms ; Damage detection ; Detection ; Earthquake construction ; Earthquake damage ; Earthquakes ; Frequency modulation ; Frequency shifting ; Galling ; Interference ; Localization ; Real time ; Representations ; Resonant frequencies ; Resonant frequency ; Sea surface ; Seismic activity ; Seismic analysis ; seismic signal processing ; Seismograms ; Structural damage ; Structures ; Surface temperature ; synchrosqueezing transform (SST) ; Time-frequency analysis ; Wavelet transforms ; Windows</subject><ispartof>IEEE geoscience and remote sensing letters, 2017-08, Vol.14 (8), p.1393-1397</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-4b28bf212d9549adbfa3c3124cfcdfbf6e9ada5d0efbbc2c7d126e2cb739ce5f3</citedby><cites>FETCH-LOGICAL-c293t-4b28bf212d9549adbfa3c3124cfcdfbf6e9ada5d0efbbc2c7d126e2cb739ce5f3</cites><orcidid>0000-0002-9556-6431</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7959565$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>315,781,785,797,27929,27930,54763</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7959565$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kumar, Roshan</creatorcontrib><creatorcontrib>Sumathi, P.</creatorcontrib><creatorcontrib>Kumar, Ashok</creatorcontrib><title>Synchrosqueezing Transform-Based Frequency Shifting Detection for Earthquake-Damaged Structures</title><title>IEEE geoscience and remote sensing letters</title><addtitle>LGRS</addtitle><description>Analysis based on time-frequency representations provides meaningful interpretations for seismic signals. An application of the synchrosqueezing transform (SST) based on continuous wavelet transform for the detection of frequency shifting of earthquake-damaged structures is introduced in this letter. The analysis of real-time seismic records of the damaged structures is performed with Wigner-Ville distribution, S-transform, and hybrid transform, which is known as Gabor-Wigner transform. The detection of frequency shifting with SST for synthetic and seismic signals outperforms the other time-frequency distributions tested. SST improves the frequency localization by reducing smearing around frequency components and it also yields good time localization, which is comparable with S-transform. The small variation in the natural frequency of earthquake-damaged structures is detected through SST-based analysis. Hence, we show that SST improves the readability and interpretation of the time-frequency representation of frequency shifting in damaged buildings caused by large earthquakes.</description><subject>Analysis</subject><subject>Buildings</subject><subject>Components</subject><subject>Continuous wavelet transform</subject><subject>Continuous wavelet transforms</subject><subject>Damage detection</subject><subject>Detection</subject><subject>Earthquake construction</subject><subject>Earthquake damage</subject><subject>Earthquakes</subject><subject>Frequency modulation</subject><subject>Frequency shifting</subject><subject>Galling</subject><subject>Interference</subject><subject>Localization</subject><subject>Real time</subject><subject>Representations</subject><subject>Resonant frequencies</subject><subject>Resonant frequency</subject><subject>Sea surface</subject><subject>Seismic activity</subject><subject>Seismic analysis</subject><subject>seismic signal processing</subject><subject>Seismograms</subject><subject>Structural damage</subject><subject>Structures</subject><subject>Surface temperature</subject><subject>synchrosqueezing transform (SST)</subject><subject>Time-frequency analysis</subject><subject>Wavelet transforms</subject><subject>Windows</subject><issn>1545-598X</issn><issn>1558-0571</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kF1LwzAUhoMoOKc_QLwpeN2Zz7W51H0pDAQ7wbuQpidbp2u3JL2Yv96UDa9OOHnenJMHoXuCR4Rg-bRcfBQjikk2ohnhnOYXaECEyFMsMnLZn7lIhcy_rtGN91uMKc_zbIBUcWzMxrX-0AH81s06WTndeNu6XfqiPVTJ3EG8a8wxKTa1DT0yhQAm1G2TRC6ZaRc2h05_QzrVO72OmSK4zoTOgb9FV1b_eLg71yH6nM9Wk9d0-b54mzwvU0MlCykvaV5aSmglBZe6Kq1mhhHKjTWVLe0YYlOLCoMtS0NNVhE6BmrKjEkDwrIhejy9u3dtXNcHtW0718SRikjKohgqcaTIiTLxx96BVXtX77Q7KoJV71H1HlXvUZ09xszDKVMDwD-fSSHFWLA_PgtySg</recordid><startdate>20170801</startdate><enddate>20170801</enddate><creator>Kumar, Roshan</creator><creator>Sumathi, P.</creator><creator>Kumar, Ashok</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>JQ2</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-9556-6431</orcidid></search><sort><creationdate>20170801</creationdate><title>Synchrosqueezing Transform-Based Frequency Shifting Detection for Earthquake-Damaged Structures</title><author>Kumar, Roshan ; Sumathi, P. ; Kumar, Ashok</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-4b28bf212d9549adbfa3c3124cfcdfbf6e9ada5d0efbbc2c7d126e2cb739ce5f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Analysis</topic><topic>Buildings</topic><topic>Components</topic><topic>Continuous wavelet transform</topic><topic>Continuous wavelet transforms</topic><topic>Damage detection</topic><topic>Detection</topic><topic>Earthquake construction</topic><topic>Earthquake damage</topic><topic>Earthquakes</topic><topic>Frequency modulation</topic><topic>Frequency shifting</topic><topic>Galling</topic><topic>Interference</topic><topic>Localization</topic><topic>Real time</topic><topic>Representations</topic><topic>Resonant frequencies</topic><topic>Resonant frequency</topic><topic>Sea surface</topic><topic>Seismic activity</topic><topic>Seismic analysis</topic><topic>seismic signal processing</topic><topic>Seismograms</topic><topic>Structural damage</topic><topic>Structures</topic><topic>Surface temperature</topic><topic>synchrosqueezing transform (SST)</topic><topic>Time-frequency analysis</topic><topic>Wavelet transforms</topic><topic>Windows</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kumar, Roshan</creatorcontrib><creatorcontrib>Sumathi, P.</creatorcontrib><creatorcontrib>Kumar, Ashok</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005–Present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>ProQuest Computer Science Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE geoscience and remote sensing letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kumar, Roshan</au><au>Sumathi, P.</au><au>Kumar, Ashok</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Synchrosqueezing Transform-Based Frequency Shifting Detection for Earthquake-Damaged Structures</atitle><jtitle>IEEE geoscience and remote sensing letters</jtitle><stitle>LGRS</stitle><date>2017-08-01</date><risdate>2017</risdate><volume>14</volume><issue>8</issue><spage>1393</spage><epage>1397</epage><pages>1393-1397</pages><issn>1545-598X</issn><eissn>1558-0571</eissn><coden>IGRSBY</coden><abstract>Analysis based on time-frequency representations provides meaningful interpretations for seismic signals. An application of the synchrosqueezing transform (SST) based on continuous wavelet transform for the detection of frequency shifting of earthquake-damaged structures is introduced in this letter. The analysis of real-time seismic records of the damaged structures is performed with Wigner-Ville distribution, S-transform, and hybrid transform, which is known as Gabor-Wigner transform. The detection of frequency shifting with SST for synthetic and seismic signals outperforms the other time-frequency distributions tested. SST improves the frequency localization by reducing smearing around frequency components and it also yields good time localization, which is comparable with S-transform. The small variation in the natural frequency of earthquake-damaged structures is detected through SST-based analysis. Hence, we show that SST improves the readability and interpretation of the time-frequency representation of frequency shifting in damaged buildings caused by large earthquakes.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/LGRS.2017.2714428</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0002-9556-6431</orcidid></addata></record> |
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| subjects | Analysis Buildings Components Continuous wavelet transform Continuous wavelet transforms Damage detection Detection Earthquake construction Earthquake damage Earthquakes Frequency modulation Frequency shifting Galling Interference Localization Real time Representations Resonant frequencies Resonant frequency Sea surface Seismic activity Seismic analysis seismic signal processing Seismograms Structural damage Structures Surface temperature synchrosqueezing transform (SST) Time-frequency analysis Wavelet transforms Windows |
| title | Synchrosqueezing Transform-Based Frequency Shifting Detection for Earthquake-Damaged Structures |
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