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A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
Monitoring structural damage is extremely important for sustaining and preserving the
service life of civil structures. While successful monitoring provides resolute and staunch …
service life of civil structures. While successful monitoring provides resolute and staunch …
[HTML][HTML] Advancing railway track health monitoring: Integrating GPR, InSAR and machine learning for enhanced asset management
Railway track health monitoring and maintenance are crucial stages in railway asset
management, aiming to enhance the train operation quality and service life. For this aim …
management, aiming to enhance the train operation quality and service life. For this aim …
[HTML][HTML] A review of synthetic and augmented training data for machine learning in ultrasonic non-destructive evaluation
Ultrasonic Testing (UT) has seen increasing application of machine learning (ML) in recent
years, promoting higher-level automation and decision-making in flaw detection and …
years, promoting higher-level automation and decision-making in flaw detection and …
A hierarchical extractor-based visual rail surface inspection system
Rail inspection based on visual inspection system (VIS) has drawn much attention recently,
since VIS is automatic, fast, nondestructive, and objective. However, visual rail inspection is …
since VIS is automatic, fast, nondestructive, and objective. However, visual rail inspection is …
[HTML][HTML] Artificial intelligence, machine learning and smart technologies for nondestructive evaluation
Nondestructive evaluation (NDE) techniques are used in many industries to evaluate the
properties of components and inspect for flaws and anomalies in structures without altering …
properties of components and inspect for flaws and anomalies in structures without altering …
A real-time visual inspection system for discrete surface defects of rail heads
Q Li, S Ren - IEEE Transactions on Instrumentation and …, 2012 - ieeexplore.ieee.org
Discrete surface defects impact the riding quality and safety of a railway system. However, it
is a challenge to inspect such defects in a vision system because of illumination inequality …
is a challenge to inspect such defects in a vision system because of illumination inequality …
Inspection of concrete structures externally reinforced with FRP composites using active infrared thermography: A review
Fiber reinforced polymer (FRP) composites have become one of the most important
strengthening and retrofitting materials for reinforced concrete structures. However, these …
strengthening and retrofitting materials for reinforced concrete structures. However, these …
A coarse-to-fine model for rail surface defect detection
Computer vision systems have attracted much attention in recent years for use in detecting
surface defects on rails; however, accurate and efficient recognition of possible defects …
surface defects on rails; however, accurate and efficient recognition of possible defects …
The recent applications of machine learning in rail track maintenance: A survey
Railway systems play a vital role in the world's economy and movement of goods and
people. Rail tracks are one of the most critical components needed for the uninterrupted …
people. Rail tracks are one of the most critical components needed for the uninterrupted …
Comparison of wear and rolling contact fatigue behaviours of bainitic and pearlitic rails under various rolling-sliding conditions
Rolling-sliding wear experiments were performed to investigate the wear and rolling contact
fatigue (RCF) behaviours of a premium pearlitic rail (PH), a carbon-free bainitic rail (BH) and …
fatigue (RCF) behaviours of a premium pearlitic rail (PH), a carbon-free bainitic rail (BH) and …