Academic Journal
A Distributed Vision-Based System for Cost-Effective Fault Diagnosis of Modular Bridge Expansion Joints.
| Τίτλος: | A Distributed Vision-Based System for Cost-Effective Fault Diagnosis of Modular Bridge Expansion Joints. |
|---|---|
| Συγγραφείς: | Huang, Haoxiang, Wang, Dalei, Pan, Yue, Ma, Minglei, Chen, Airong, Li, Jun |
| Πηγή: | Structural Control & Health Monitoring; 4/30/2026, Vol. 2026, p1-17, 17p |
| Θεματικοί όροι: | Fault diagnosis, Structural health monitoring, Structural dynamics, Image enhancement (Imaging systems), Robot vision, Distributed sensors |
| Περίληψη: | Detecting faults in modular bridge expansion joints (MBEJs) is a critical challenge, as their complex dynamic behavior under operational loads is difficult to characterize with conventional methods. Existing monitoring approaches often face a trade-off between high cost, intrusive installation, and an inability to capture the distributed kinematic patterns essential for fault diagnosis. To address this gap, this paper proposes a cost-effective, distributed vision-based framework designed for fault diagnosis of in-service MBEJs. The framework employs a single camera to synchronously track an array of fiducial markers, enabling noncontact, multipoint dynamic measurement, while its algorithmic pipeline synergizes image enhancement with robust detection to ensure data reliability. Field deployment on a long-span bridge provided initial validation of its diagnostic capability by correctly classifying a known bearing failure as a structural-level anomaly, based on its distinctive dynamic signatures: a statistically significant elevation in displacement variance and the emergence of an anomalous, structure-borne vibrational mode at 3.577 Hz. The framework demonstrates its potential for unmanned anomaly detection, providing critical kinematic indicators that can serve as a basis for early warnings and proactive structural management. [ABSTRACT FROM AUTHOR] |
| Copyright of Structural Control & Health Monitoring is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: A Distributed Vision-Based System for Cost-Effective Fault Diagnosis of Modular Bridge Expansion Joints. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Huang%2C+Haoxiang%22">Huang, Haoxiang</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Dalei%22">Wang, Dalei</searchLink><br /><searchLink fieldCode="AR" term="%22Pan%2C+Yue%22">Pan, Yue</searchLink><br /><searchLink fieldCode="AR" term="%22Ma%2C+Minglei%22">Ma, Minglei</searchLink><br /><searchLink fieldCode="AR" term="%22Chen%2C+Airong%22">Chen, Airong</searchLink><br /><searchLink fieldCode="AR" term="%22Li%2C+Jun%22">Li, Jun</searchLink> – Name: TitleSource Label: Source Group: Src Data: Structural Control & Health Monitoring; 4/30/2026, Vol. 2026, p1-17, 17p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Fault+diagnosis%22">Fault diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+health+monitoring%22">Structural health monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+dynamics%22">Structural dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Image+enhancement+%28Imaging+systems%29%22">Image enhancement (Imaging systems)</searchLink><br /><searchLink fieldCode="DE" term="%22Robot+vision%22">Robot vision</searchLink><br /><searchLink fieldCode="DE" term="%22Distributed+sensors%22">Distributed sensors</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Detecting faults in modular bridge expansion joints (MBEJs) is a critical challenge, as their complex dynamic behavior under operational loads is difficult to characterize with conventional methods. Existing monitoring approaches often face a trade-off between high cost, intrusive installation, and an inability to capture the distributed kinematic patterns essential for fault diagnosis. To address this gap, this paper proposes a cost-effective, distributed vision-based framework designed for fault diagnosis of in-service MBEJs. The framework employs a single camera to synchronously track an array of fiducial markers, enabling noncontact, multipoint dynamic measurement, while its algorithmic pipeline synergizes image enhancement with robust detection to ensure data reliability. Field deployment on a long-span bridge provided initial validation of its diagnostic capability by correctly classifying a known bearing failure as a structural-level anomaly, based on its distinctive dynamic signatures: a statistically significant elevation in displacement variance and the emergence of an anomalous, structure-borne vibrational mode at 3.577 Hz. The framework demonstrates its potential for unmanned anomaly detection, providing critical kinematic indicators that can serve as a basis for early warnings and proactive structural management. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Structural Control & Health Monitoring is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/stc/8765999 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Subjects: – SubjectFull: Fault diagnosis Type: general – SubjectFull: Structural health monitoring Type: general – SubjectFull: Structural dynamics Type: general – SubjectFull: Image enhancement (Imaging systems) Type: general – SubjectFull: Robot vision Type: general – SubjectFull: Distributed sensors Type: general Titles: – TitleFull: A Distributed Vision-Based System for Cost-Effective Fault Diagnosis of Modular Bridge Expansion Joints. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Huang, Haoxiang – PersonEntity: Name: NameFull: Wang, Dalei – PersonEntity: Name: NameFull: Pan, Yue – PersonEntity: Name: NameFull: Ma, Minglei – PersonEntity: Name: NameFull: Chen, Airong – PersonEntity: Name: NameFull: Li, Jun IsPartOfRelationships: – BibEntity: Dates: – D: 30 M: 04 Text: 4/30/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15452255 Numbering: – Type: volume Value: 2026 Titles: – TitleFull: Structural Control & Health Monitoring Type: main |
| ResultId | 1 |