A review of computer vision–based structural health monitoring at local and global levels

CZ Dong, FN Catbas - Structural Health Monitoring, 2021 - journals.sagepub.com
Structural health monitoring at local and global levels using computer vision technologies
has gained much attention in the structural health monitoring community in research and …

Three decades of statistical pattern recognition paradigm for SHM of bridges

E Figueiredo, J Brownjohn - Structural Health Monitoring, 2022 - journals.sagepub.com
Bridges play a crucial role in modern societies, regardless of their culture, geographical
location, or economic development. The safest, economical, and most resilient bridges are …

Machine learning paradigm for structural health monitoring

Y Bao, H Li - Structural health monitoring, 2021 - journals.sagepub.com
Structural health diagnosis and prognosis is the goal of structural health monitoring.
Vibration-based structural health monitoring methodology has been extensively …

Advances in computer vision-based civil infrastructure inspection and monitoring

BF Spencer Jr, V Hoskere, Y Narazaki - Engineering, 2019 - Elsevier
Computer vision techniques, in conjunction with acquisition through remote cameras and
unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure …

A literature review of next‐generation smart sensing technology in structural health monitoring

S Sony, S Laventure, A Sadhu - Structural Control and Health …, 2019 - Wiley Online Library
Advent of computationally efficient smartphones, inexpensive high‐resolution cameras,
drones, and robotic sensors has brought a new era of next‐generation intelligent monitoring …

Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection–A review

D Feng, MQ Feng - Engineering Structures, 2018 - Elsevier
To address the limitations of current sensor systems for field applications, the research
community has been actively exploring new technologies that can advance the state-of-the …

Computer vision and deep learning–based data anomaly detection method for structural health monitoring

Y Bao, Z Tang, H Li, Y Zhang - Structural Health Monitoring, 2019 - journals.sagepub.com
The widespread application of sophisticated structural health monitoring systems in civil
infrastructures produces a large volume of data. As a result, the analysis and mining of …

Non-destructive techniques for the condition and structural health monitoring of wind turbines: A literature review of the last 20 years

M Civera, C Surace - Sensors, 2022 - mdpi.com
A complete surveillance strategy for wind turbines requires both the condition monitoring
(CM) of their mechanical components and the structural health monitoring (SHM) of their …

Review of machine-vision based methodologies for displacement measurement in civil structures

Y Xu, JMW Brownjohn - Journal of Civil Structural Health Monitoring, 2018 - Springer
Vision-based systems are promising tools for displacement measurement in civil structures,
possessing advantages over traditional displacement sensors in instrumentation cost …

Vision-based real-time structural vibration measurement through deep-learning-based detection and tracking methods

X Pan, TY Yang, Y Xiao, H Yao, H Adeli - Engineering Structures, 2023 - Elsevier
Structural vibration measurement is crucial in structural health monitoring and structural
laboratory tests. Traditional contact type sensors are usually required to be attached to the …