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- Title
A Review of Machine Vision-Based Structural Health Monitoring: Methodologies and Applications.
- Authors
Ye, X. W.; Dong, C. Z.; Liu, T.
- Abstract
In the past two decades, a significant number of innovative sensing and monitoring systems based on the machine vision-based technology have been exploited in the field of structural health monitoring (SHM). This technology has some inherent distinctive advantages such as noncontact, nondestructive, long distance, high precision, immunity to electromagnetic interference, and large-range and multiple-target monitoring. A lot of machine vision-based structural dynamic measurement and structural state inspection methods have been proposed. Real-world applications are also carried out to measure the structural physical parameters such as the displacement, strain/stress, rotation, vibration, crack, and spalling. The purpose of this review article is devoted to presenting a summary of the basic theories and practical applications of the machine vision-based technology employed in structural monitoring as well as its systematic error sources and integration with other modern sensing techniques.
- Subjects
STRUCTURAL health monitoring; COMPUTER vision; NONDESTRUCTIVE testing; MEASUREMENT errors; ELECTROMAGNETIC interference; TECHNOLOGICAL innovations
- Publication
Journal of Sensors, 2016, p1
- ISSN
1687-725X
- Publication type
Article
- DOI
10.1155/2016/7103039