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Damage features for structural health monitoring based on ultrasonic Lamb waves: Evaluation criteria, survey of recent work and outlook
Guided Lamb waves are highly valued in structural health monitoring for identifying critical
damage. The essence of Lamb wave-based damage detection is finding and processing …
damage. The essence of Lamb wave-based damage detection is finding and processing …
Systematic review railway infrastructure monitoring: From classic techniques to predictive maintenance
G Bianchi, C Fanelli, F Freddi… - Advances in …, 2025 - journals.sagepub.com
The efficiency and availability of modern railway infrastructure plays an increasingly
strategic role in the sustainability, development and prosperity of communities and nations …
strategic role in the sustainability, development and prosperity of communities and nations …
Fault diagnosis of electrical faults of three-phasei nduction motors using acoustic analysis
Fault diagnosis techniques of electrical motors can prevent unplanned downtime and loss of
money, production, and health. Various parts of the induction motor can be diagnosed: rotor …
money, production, and health. Various parts of the induction motor can be diagnosed: rotor …
Smart composite materials and IoT: Revolutionizing real-time railway health monitoring
L Duan, J Liu - MRS Communications, 2024 - Springer
This paper explores the integration of smart composite materials and IoT technologies for
revolutionizing real-time railway health monitoring. The study highlights the significance of …
revolutionizing real-time railway health monitoring. The study highlights the significance of …
TOSS: Deep Learning based Track Object Detection using Smart Sensor
In high-speed railways, train collisions with obstructions on the trackside are prevented
using automated railroad security systems. Rail safety is being improved, and accident rates …
using automated railroad security systems. Rail safety is being improved, and accident rates …
Measurement Capability Evaluation of Acoustic Emission Sensors in IIoT System for PHM
H Chen, J Lin, H Yang, G Xu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
In the realm of Industry 4.0, the Industrial Internet of Things (IIoT) is pivotal for advancing
prognostics and health management (PHM) through real-time monitoring of asset …
prognostics and health management (PHM) through real-time monitoring of asset …
[HTML][HTML] Automatic Detection of Railway Faults Using Neural Networks: A Comparative Study of Transfer Learning Models and YOLOv11
Develo** reliable railway fault detection systems is crucial for ensuring both safety and
operational efficiency. Various artificial intelligence frameworks, especially deep learning …
operational efficiency. Various artificial intelligence frameworks, especially deep learning …
Integrated Railway Infrastructure Optimization and Control System: Leveraging IoT for Advanced Railway Management and Monitoring
H Tabassum, S Sahana, S Hunagund… - 2024 International …, 2024 - ieeexplore.ieee.org
The Railway Track Tracer technology for Creature Detection is a technology that detects
fractures in railway tracks. This method will assist in preventing numerous train accidents …
fractures in railway tracks. This method will assist in preventing numerous train accidents …
The Design of Critical Data Communication Applications for Railways: An Approach
I Atanasov, V Vatakov… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The application of cutting-edge technologies for data communications is expected to
improve the reliability, safety, and security of railways and to enable driverless automation …
improve the reliability, safety, and security of railways and to enable driverless automation …
Rail Guard: Intelligent Rail Inspection using YOLOv3
S Poornima, A Kumar, R Bharati… - … Frontiers in Electrical …, 2024 - ieeexplore.ieee.org
Indian railways are the largest mode of transport for Indians due to massive infrastructure.
Around 24 million commuters use train regularly as a daily use. The system need to be …
Around 24 million commuters use train regularly as a daily use. The system need to be …