Efficient Vibration Measurement and Modal Shape Visualization Based on Dynamic Deviations of Structural Edge Profiles Article Swipe
Andong Zhu
,
Xinlong Gong
,
Jie Zhou
,
Xiaolong Zhang
,
Dashan Zhang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/s24134413
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/s24134413
As a non-contact method, vision-based measurement for vibration extraction and modal parameter identification has attracted much attention. In most cases, artificial textures are crucial elements for visual tracking, and this feature limits the application of vision-based vibration measurement on textureless targets. As a computation technique for visualizing subtle variations in videos, the video magnification technique can analyze modal responses and visualize modal shapes, but the efficiency is low, and the processing results contain clipping artifacts. This paper proposes a novel method for the application of a modal test. In contrast to the deviation magnification that exaggerates subtle geometric deviations from only a single image, the proposed method extracts vibration signals with sub-pixel accuracy on edge positions by changing the perspective of deviations from space to timeline. Then, modal shapes are visualized by decoupling all spatial vibrations following the vibration theory of continuous linear systems. Without relying on artificial textures and motion magnification, the proposed method achieves high operating efficiency and avoids clipping artifacts. Finally, the effectiveness and practical value of the proposed method are validated by two laboratory experiments on a cantilever beam and an arch dam model.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s24134413
- https://www.mdpi.com/1424-8220/24/13/4413/pdf?version=1720446195
- OA Status
- gold
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400413779
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4400413779Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s24134413Digital Object Identifier
- Title
-
Efficient Vibration Measurement and Modal Shape Visualization Based on Dynamic Deviations of Structural Edge ProfilesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-07-08Full publication date if available
- Authors
-
Andong Zhu, Xinlong Gong, Jie Zhou, Xiaolong Zhang, Dashan ZhangList of authors in order
- Landing page
-
https://doi.org/10.3390/s24134413Publisher landing page
- PDF URL
-
https://www.mdpi.com/1424-8220/24/13/4413/pdf?version=1720446195Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/24/13/4413/pdf?version=1720446195Direct OA link when available
- Concepts
-
Modal, Vibration, Computer vision, Artificial intelligence, Subpixel rendering, Computer science, Magnification, Modal analysis, Pixel, Visualization, Computation, Acoustics, Algorithm, Physics, Polymer chemistry, ChemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
37Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4400413779 |
|---|---|
| doi | https://doi.org/10.3390/s24134413 |
| ids.doi | https://doi.org/10.3390/s24134413 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/39001192 |
| ids.openalex | https://openalex.org/W4400413779 |
| fwci | 0.0 |
| type | article |
| title | Efficient Vibration Measurement and Modal Shape Visualization Based on Dynamic Deviations of Structural Edge Profiles |
| awards[0].id | https://openalex.org/G3835222437 |
| awards[0].funder_id | https://openalex.org/F4320321001 |
| awards[0].funder_award_id | 51805006 |
| awards[0].funder_display_name | National Natural Science Foundation of China |
| awards[1].id | https://openalex.org/G418105004 |
| awards[1].funder_id | https://openalex.org/F4320335406 |
| awards[1].funder_award_id | 2023AH051023 |
| awards[1].funder_display_name | University Natural Science Research Project of Anhui Province |
| biblio.issue | 13 |
| biblio.volume | 24 |
| biblio.last_page | 4413 |
| biblio.first_page | 4413 |
| grants[0].funder | https://openalex.org/F4320321001 |
| grants[0].award_id | 51805006 |
| grants[0].funder_display_name | National Natural Science Foundation of China |
| grants[1].funder | https://openalex.org/F4320335406 |
| grants[1].award_id | 2023AH051023 |
| grants[1].funder_display_name | University Natural Science Research Project of Anhui Province |
| topics[0].id | https://openalex.org/T10534 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9976000189781189 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2205 |
| topics[0].subfield.display_name | Civil and Structural Engineering |
| topics[0].display_name | Structural Health Monitoring Techniques |
| topics[1].id | https://openalex.org/T11606 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9909999966621399 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2205 |
| topics[1].subfield.display_name | Civil and Structural Engineering |
| topics[1].display_name | Infrastructure Maintenance and Monitoring |
| topics[2].id | https://openalex.org/T10638 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9789000153541565 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1707 |
| topics[2].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[2].display_name | Optical measurement and interference techniques |
| funders[0].id | https://openalex.org/F4320321001 |
| funders[0].ror | https://ror.org/01h0zpd94 |
| funders[0].display_name | National Natural Science Foundation of China |
| funders[1].id | https://openalex.org/F4320335406 |
| funders[1].ror | |
| funders[1].display_name | University Natural Science Research Project of Anhui Province |
| is_xpac | False |
| apc_list.value | 2400 |
| apc_list.currency | CHF |
| apc_list.value_usd | 2598 |
| apc_paid.value | 2400 |
| apc_paid.currency | CHF |
| apc_paid.value_usd | 2598 |
| concepts[0].id | https://openalex.org/C71139939 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6496738791465759 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q910194 |
| concepts[0].display_name | Modal |
| concepts[1].id | https://openalex.org/C198394728 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6035676598548889 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q3695508 |
| concepts[1].display_name | Vibration |
| concepts[2].id | https://openalex.org/C31972630 |
| concepts[2].level | 1 |
| concepts[2].score | 0.5993898510932922 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[2].display_name | Computer vision |
| concepts[3].id | https://openalex.org/C154945302 |
| concepts[3].level | 1 |
| concepts[3].score | 0.5958949327468872 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[3].display_name | Artificial intelligence |
| concepts[4].id | https://openalex.org/C68516990 |
| concepts[4].level | 3 |
| concepts[4].score | 0.5944802165031433 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q452912 |
| concepts[4].display_name | Subpixel rendering |
| concepts[5].id | https://openalex.org/C41008148 |
| concepts[5].level | 0 |
| concepts[5].score | 0.5889018177986145 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[5].display_name | Computer science |
| concepts[6].id | https://openalex.org/C4144372 |
| concepts[6].level | 2 |
| concepts[6].score | 0.46456968784332275 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q675287 |
| concepts[6].display_name | Magnification |
| concepts[7].id | https://openalex.org/C104286136 |
| concepts[7].level | 3 |
| concepts[7].score | 0.44330716133117676 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1416137 |
| concepts[7].display_name | Modal analysis |
| concepts[8].id | https://openalex.org/C160633673 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4362730085849762 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q355198 |
| concepts[8].display_name | Pixel |
| concepts[9].id | https://openalex.org/C36464697 |
| concepts[9].level | 2 |
| concepts[9].score | 0.4316534399986267 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q451553 |
| concepts[9].display_name | Visualization |
| concepts[10].id | https://openalex.org/C45374587 |
| concepts[10].level | 2 |
| concepts[10].score | 0.41949746012687683 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q12525525 |
| concepts[10].display_name | Computation |
| concepts[11].id | https://openalex.org/C24890656 |
| concepts[11].level | 1 |
| concepts[11].score | 0.28467386960983276 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q82811 |
| concepts[11].display_name | Acoustics |
| concepts[12].id | https://openalex.org/C11413529 |
| concepts[12].level | 1 |
| concepts[12].score | 0.17050975561141968 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[12].display_name | Algorithm |
| concepts[13].id | https://openalex.org/C121332964 |
| concepts[13].level | 0 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[13].display_name | Physics |
| concepts[14].id | https://openalex.org/C188027245 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q750446 |
| concepts[14].display_name | Polymer chemistry |
| concepts[15].id | https://openalex.org/C185592680 |
| concepts[15].level | 0 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[15].display_name | Chemistry |
| keywords[0].id | https://openalex.org/keywords/modal |
| keywords[0].score | 0.6496738791465759 |
| keywords[0].display_name | Modal |
| keywords[1].id | https://openalex.org/keywords/vibration |
| keywords[1].score | 0.6035676598548889 |
| keywords[1].display_name | Vibration |
| keywords[2].id | https://openalex.org/keywords/computer-vision |
| keywords[2].score | 0.5993898510932922 |
| keywords[2].display_name | Computer vision |
| keywords[3].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[3].score | 0.5958949327468872 |
| keywords[3].display_name | Artificial intelligence |
| keywords[4].id | https://openalex.org/keywords/subpixel-rendering |
| keywords[4].score | 0.5944802165031433 |
| keywords[4].display_name | Subpixel rendering |
| keywords[5].id | https://openalex.org/keywords/computer-science |
| keywords[5].score | 0.5889018177986145 |
| keywords[5].display_name | Computer science |
| keywords[6].id | https://openalex.org/keywords/magnification |
| keywords[6].score | 0.46456968784332275 |
| keywords[6].display_name | Magnification |
| keywords[7].id | https://openalex.org/keywords/modal-analysis |
| keywords[7].score | 0.44330716133117676 |
| keywords[7].display_name | Modal analysis |
| keywords[8].id | https://openalex.org/keywords/pixel |
| keywords[8].score | 0.4362730085849762 |
| keywords[8].display_name | Pixel |
| keywords[9].id | https://openalex.org/keywords/visualization |
| keywords[9].score | 0.4316534399986267 |
| keywords[9].display_name | Visualization |
| keywords[10].id | https://openalex.org/keywords/computation |
| keywords[10].score | 0.41949746012687683 |
| keywords[10].display_name | Computation |
| keywords[11].id | https://openalex.org/keywords/acoustics |
| keywords[11].score | 0.28467386960983276 |
| keywords[11].display_name | Acoustics |
| keywords[12].id | https://openalex.org/keywords/algorithm |
| keywords[12].score | 0.17050975561141968 |
| keywords[12].display_name | Algorithm |
| language | en |
| locations[0].id | doi:10.3390/s24134413 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S101949793 |
| locations[0].source.issn | 1424-8220 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1424-8220 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Sensors |
| locations[0].source.host_organization | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310310987 |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.mdpi.com/1424-8220/24/13/4413/pdf?version=1720446195 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Sensors |
| locations[0].landing_page_url | https://doi.org/10.3390/s24134413 |
| locations[1].id | pmid:39001192 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Sensors (Basel, Switzerland) |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/39001192 |
| locations[2].id | pmh:oai:doaj.org/article:a3009b5001fe4693938391444debfaf7 |
| locations[2].is_oa | False |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].source.host_organization_lineage | |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Sensors, Vol 24, Iss 13, p 4413 (2024) |
| locations[2].landing_page_url | https://doaj.org/article/a3009b5001fe4693938391444debfaf7 |
| locations[3].id | pmh:oai:pubmedcentral.nih.gov:11244604 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S2764455111 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | PubMed Central |
| locations[3].source.host_organization | https://openalex.org/I1299303238 |
| locations[3].source.host_organization_name | National Institutes of Health |
| locations[3].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[3].license | other-oa |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/other-oa |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Sensors (Basel) |
| locations[3].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/11244604 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5006341654 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-5876-5597 |
| authorships[0].author.display_name | Andong Zhu |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I140221134 |
| authorships[0].affiliations[0].raw_affiliation_string | Intelligent Agricultural Machinery Laboratory of Anhui Province, Anhui Agricultural University, Hefei 230036, China |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I140221134 |
| authorships[0].affiliations[1].raw_affiliation_string | College of Engineering, Anhui Agricultural University, Hefei 230036, China |
| authorships[0].institutions[0].id | https://openalex.org/I140221134 |
| authorships[0].institutions[0].ror | https://ror.org/0327f3359 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I140221134 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Anhui Agricultural University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Andong Zhu |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | College of Engineering, Anhui Agricultural University, Hefei 230036, China, Intelligent Agricultural Machinery Laboratory of Anhui Province, Anhui Agricultural University, Hefei 230036, China |
| authorships[1].author.id | https://openalex.org/A5102531637 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Xinlong Gong |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I140221134 |
| authorships[1].affiliations[0].raw_affiliation_string | College of Engineering, Anhui Agricultural University, Hefei 230036, China |
| authorships[1].affiliations[1].institution_ids | https://openalex.org/I140221134 |
| authorships[1].affiliations[1].raw_affiliation_string | Intelligent Agricultural Machinery Laboratory of Anhui Province, Anhui Agricultural University, Hefei 230036, China |
| authorships[1].institutions[0].id | https://openalex.org/I140221134 |
| authorships[1].institutions[0].ror | https://ror.org/0327f3359 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I140221134 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Anhui Agricultural University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Xinlong Gong |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | College of Engineering, Anhui Agricultural University, Hefei 230036, China, Intelligent Agricultural Machinery Laboratory of Anhui Province, Anhui Agricultural University, Hefei 230036, China |
| authorships[2].author.id | https://openalex.org/A5101813224 |
| authorships[2].author.orcid | https://orcid.org/0009-0004-8939-7848 |
| authorships[2].author.display_name | Jie Zhou |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I140221134 |
| authorships[2].affiliations[0].raw_affiliation_string | College of Engineering, Anhui Agricultural University, Hefei 230036, China |
| authorships[2].affiliations[1].institution_ids | https://openalex.org/I140221134 |
| authorships[2].affiliations[1].raw_affiliation_string | Intelligent Agricultural Machinery Laboratory of Anhui Province, Anhui Agricultural University, Hefei 230036, China |
| authorships[2].institutions[0].id | https://openalex.org/I140221134 |
| authorships[2].institutions[0].ror | https://ror.org/0327f3359 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I140221134 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Anhui Agricultural University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Jie Zhou |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | College of Engineering, Anhui Agricultural University, Hefei 230036, China, Intelligent Agricultural Machinery Laboratory of Anhui Province, Anhui Agricultural University, Hefei 230036, China |
| authorships[3].author.id | https://openalex.org/A5100395685 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-3319-7351 |
| authorships[3].author.display_name | Xiaolong Zhang |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I140221134 |
| authorships[3].affiliations[0].raw_affiliation_string | Intelligent Agricultural Machinery Laboratory of Anhui Province, Anhui Agricultural University, Hefei 230036, China |
| authorships[3].affiliations[1].institution_ids | https://openalex.org/I140221134 |
| authorships[3].affiliations[1].raw_affiliation_string | College of Engineering, Anhui Agricultural University, Hefei 230036, China |
| authorships[3].institutions[0].id | https://openalex.org/I140221134 |
| authorships[3].institutions[0].ror | https://ror.org/0327f3359 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I140221134 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Anhui Agricultural University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Xiaolong Zhang |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | College of Engineering, Anhui Agricultural University, Hefei 230036, China, Intelligent Agricultural Machinery Laboratory of Anhui Province, Anhui Agricultural University, Hefei 230036, China |
| authorships[4].author.id | https://openalex.org/A5032085236 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-2416-1058 |
| authorships[4].author.display_name | Dashan Zhang |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I140221134 |
| authorships[4].affiliations[0].raw_affiliation_string | Intelligent Agricultural Machinery Laboratory of Anhui Province, Anhui Agricultural University, Hefei 230036, China |
| authorships[4].affiliations[1].institution_ids | https://openalex.org/I140221134 |
| authorships[4].affiliations[1].raw_affiliation_string | College of Engineering, Anhui Agricultural University, Hefei 230036, China |
| authorships[4].institutions[0].id | https://openalex.org/I140221134 |
| authorships[4].institutions[0].ror | https://ror.org/0327f3359 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I140221134 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | Anhui Agricultural University |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Dashan Zhang |
| authorships[4].is_corresponding | True |
| authorships[4].raw_affiliation_strings | College of Engineering, Anhui Agricultural University, Hefei 230036, China, Intelligent Agricultural Machinery Laboratory of Anhui Province, Anhui Agricultural University, Hefei 230036, China |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.mdpi.com/1424-8220/24/13/4413/pdf?version=1720446195 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Efficient Vibration Measurement and Modal Shape Visualization Based on Dynamic Deviations of Structural Edge Profiles |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10534 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9976000189781189 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2205 |
| primary_topic.subfield.display_name | Civil and Structural Engineering |
| primary_topic.display_name | Structural Health Monitoring Techniques |
| related_works | https://openalex.org/W2120293966, https://openalex.org/W2142380919, https://openalex.org/W2157888865, https://openalex.org/W2159163347, https://openalex.org/W2361310367, https://openalex.org/W2080072286, https://openalex.org/W2015680840, https://openalex.org/W3095660817, https://openalex.org/W2362316555, https://openalex.org/W2058415008 |
| cited_by_count | 0 |
| locations_count | 4 |
| best_oa_location.id | doi:10.3390/s24134413 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S101949793 |
| best_oa_location.source.issn | 1424-8220 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1424-8220 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Sensors |
| best_oa_location.source.host_organization | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.mdpi.com/1424-8220/24/13/4413/pdf?version=1720446195 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Sensors |
| best_oa_location.landing_page_url | https://doi.org/10.3390/s24134413 |
| primary_location.id | doi:10.3390/s24134413 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S101949793 |
| primary_location.source.issn | 1424-8220 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1424-8220 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Sensors |
| primary_location.source.host_organization | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.mdpi.com/1424-8220/24/13/4413/pdf?version=1720446195 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Sensors |
| primary_location.landing_page_url | https://doi.org/10.3390/s24134413 |
| publication_date | 2024-07-08 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W4221114729, https://openalex.org/W2517013203, https://openalex.org/W3110503494, https://openalex.org/W3120921660, https://openalex.org/W2884687653, https://openalex.org/W2333351146, https://openalex.org/W3189264677, https://openalex.org/W4295884563, https://openalex.org/W2779497038, https://openalex.org/W2559316905, https://openalex.org/W2011035120, https://openalex.org/W4313898357, https://openalex.org/W3010656624, https://openalex.org/W3092417912, https://openalex.org/W3202785506, https://openalex.org/W4367187272, https://openalex.org/W2071565336, https://openalex.org/W2300873422, https://openalex.org/W1990370049, https://openalex.org/W2566335221, https://openalex.org/W3134999746, https://openalex.org/W1998391547, https://openalex.org/W4387668087, https://openalex.org/W4319965899, https://openalex.org/W2419337660, https://openalex.org/W2794286598, https://openalex.org/W2028660383, https://openalex.org/W4296714187, https://openalex.org/W2097230050, https://openalex.org/W1966833203, https://openalex.org/W2000982976, https://openalex.org/W4285009251, https://openalex.org/W4320473127, https://openalex.org/W4307573996, https://openalex.org/W2921819872, https://openalex.org/W2082224599, https://openalex.org/W3005204259 |
| referenced_works_count | 37 |
| abstract_inverted_index.a | 1, 42, 78, 85, 101, 180 |
| abstract_inverted_index.As | 0, 41 |
| abstract_inverted_index.In | 17, 88 |
| abstract_inverted_index.an | 184 |
| abstract_inverted_index.by | 116, 131, 175 |
| abstract_inverted_index.in | 49 |
| abstract_inverted_index.is | 66 |
| abstract_inverted_index.of | 34, 84, 120, 140, 169 |
| abstract_inverted_index.on | 38, 113, 146, 179 |
| abstract_inverted_index.to | 90, 124 |
| abstract_inverted_index.all | 133 |
| abstract_inverted_index.and | 9, 28, 59, 68, 149, 159, 166, 183 |
| abstract_inverted_index.are | 22, 129, 173 |
| abstract_inverted_index.but | 63 |
| abstract_inverted_index.can | 55 |
| abstract_inverted_index.dam | 186 |
| abstract_inverted_index.for | 6, 25, 45, 81 |
| abstract_inverted_index.has | 13 |
| abstract_inverted_index.the | 32, 51, 64, 69, 82, 91, 104, 118, 137, 152, 164, 170 |
| abstract_inverted_index.two | 176 |
| abstract_inverted_index.This | 75 |
| abstract_inverted_index.arch | 185 |
| abstract_inverted_index.beam | 182 |
| abstract_inverted_index.edge | 114 |
| abstract_inverted_index.from | 99, 122 |
| abstract_inverted_index.high | 156 |
| abstract_inverted_index.low, | 67 |
| abstract_inverted_index.most | 18 |
| abstract_inverted_index.much | 15 |
| abstract_inverted_index.only | 100 |
| abstract_inverted_index.that | 94 |
| abstract_inverted_index.this | 29 |
| abstract_inverted_index.with | 110 |
| abstract_inverted_index.Then, | 126 |
| abstract_inverted_index.modal | 10, 57, 61, 86, 127 |
| abstract_inverted_index.novel | 79 |
| abstract_inverted_index.paper | 76 |
| abstract_inverted_index.space | 123 |
| abstract_inverted_index.test. | 87 |
| abstract_inverted_index.value | 168 |
| abstract_inverted_index.video | 52 |
| abstract_inverted_index.avoids | 160 |
| abstract_inverted_index.cases, | 19 |
| abstract_inverted_index.image, | 103 |
| abstract_inverted_index.limits | 31 |
| abstract_inverted_index.linear | 142 |
| abstract_inverted_index.method | 80, 106, 154, 172 |
| abstract_inverted_index.model. | 187 |
| abstract_inverted_index.motion | 150 |
| abstract_inverted_index.shapes | 128 |
| abstract_inverted_index.single | 102 |
| abstract_inverted_index.subtle | 47, 96 |
| abstract_inverted_index.theory | 139 |
| abstract_inverted_index.visual | 26 |
| abstract_inverted_index.Without | 144 |
| abstract_inverted_index.analyze | 56 |
| abstract_inverted_index.contain | 72 |
| abstract_inverted_index.crucial | 23 |
| abstract_inverted_index.feature | 30 |
| abstract_inverted_index.method, | 3 |
| abstract_inverted_index.relying | 145 |
| abstract_inverted_index.results | 71 |
| abstract_inverted_index.shapes, | 62 |
| abstract_inverted_index.signals | 109 |
| abstract_inverted_index.spatial | 134 |
| abstract_inverted_index.videos, | 50 |
| abstract_inverted_index.Finally, | 163 |
| abstract_inverted_index.accuracy | 112 |
| abstract_inverted_index.achieves | 155 |
| abstract_inverted_index.changing | 117 |
| abstract_inverted_index.clipping | 73, 161 |
| abstract_inverted_index.contrast | 89 |
| abstract_inverted_index.elements | 24 |
| abstract_inverted_index.extracts | 107 |
| abstract_inverted_index.proposed | 105, 153, 171 |
| abstract_inverted_index.proposes | 77 |
| abstract_inverted_index.systems. | 143 |
| abstract_inverted_index.targets. | 40 |
| abstract_inverted_index.textures | 21, 148 |
| abstract_inverted_index.attracted | 14 |
| abstract_inverted_index.deviation | 92 |
| abstract_inverted_index.following | 136 |
| abstract_inverted_index.geometric | 97 |
| abstract_inverted_index.operating | 157 |
| abstract_inverted_index.parameter | 11 |
| abstract_inverted_index.positions | 115 |
| abstract_inverted_index.practical | 167 |
| abstract_inverted_index.responses | 58 |
| abstract_inverted_index.sub-pixel | 111 |
| abstract_inverted_index.technique | 44, 54 |
| abstract_inverted_index.timeline. | 125 |
| abstract_inverted_index.tracking, | 27 |
| abstract_inverted_index.validated | 174 |
| abstract_inverted_index.vibration | 7, 36, 108, 138 |
| abstract_inverted_index.visualize | 60 |
| abstract_inverted_index.artifacts. | 74, 162 |
| abstract_inverted_index.artificial | 20, 147 |
| abstract_inverted_index.attention. | 16 |
| abstract_inverted_index.cantilever | 181 |
| abstract_inverted_index.continuous | 141 |
| abstract_inverted_index.decoupling | 132 |
| abstract_inverted_index.deviations | 98, 121 |
| abstract_inverted_index.efficiency | 65, 158 |
| abstract_inverted_index.extraction | 8 |
| abstract_inverted_index.laboratory | 177 |
| abstract_inverted_index.processing | 70 |
| abstract_inverted_index.variations | 48 |
| abstract_inverted_index.vibrations | 135 |
| abstract_inverted_index.visualized | 130 |
| abstract_inverted_index.application | 33, 83 |
| abstract_inverted_index.computation | 43 |
| abstract_inverted_index.exaggerates | 95 |
| abstract_inverted_index.experiments | 178 |
| abstract_inverted_index.measurement | 5, 37 |
| abstract_inverted_index.non-contact | 2 |
| abstract_inverted_index.perspective | 119 |
| abstract_inverted_index.textureless | 39 |
| abstract_inverted_index.visualizing | 46 |
| abstract_inverted_index.vision-based | 4, 35 |
| abstract_inverted_index.effectiveness | 165 |
| abstract_inverted_index.magnification | 53, 93 |
| abstract_inverted_index.identification | 12 |
| abstract_inverted_index.magnification, | 151 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5032085236 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I140221134 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.6100000143051147 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.14270897 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |