Fault detection of in-service bridge expansion joint based on voiceprint recognition

Fault detection of in-service bridge expansion joint based on voiceprint recognition

Bridge expansion joints (BEJs) in service are susceptible to damage from various factors such as fatigue, impact, and environmental conditions. While visual inspection is the most common approach for inspecting BEJs, it is subjective and labor-intensive. In this paper, we propose a novel methodology...

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Bibliographic Details
Main Authors: Dong, Yiqing, Wang, Dalei, Pan, Yue, Di, Jin, Chen, Airong
Other Authors: School of Civil and Environmental Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Expansion joints
Speech recognition
Online Access:https://hdl.handle.net/10356/178707

Internet

https://hdl.handle.net/10356/178707

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