[HTML][HTML] Condition monitoring of rail transport systems: A bibliometric performance analysis and systematic literature review
M Kostrzewski, R Melnik - Sensors, 2021 - mdpi.com
Condition monitoring of rail transport systems has become a phenomenon of global interest
over the past half a century. The approaches to condition monitoring of various rail transport …
over the past half a century. The approaches to condition monitoring of various rail transport …
Design and performance evaluation of an ultralow-power smart IoT device with embedded TinyML for asset activity monitoring
This article proposes a proof-of-concept device to continuously assess the usage of
handheld power tools and detect construction working tasks (eg, different drilling works) …
handheld power tools and detect construction working tasks (eg, different drilling works) …
Railway intrusion detection based on refined spatial and temporal features for UAV surveillance scene
H Huang, G Zhao, Y Bo, J Yu, LD Liang, Y Yang, K Ou - Measurement, 2023 - Elsevier
Railway intrusion detection is important for the safety of the railway operation. However, how
to detect intruding events in the scene of unmanned aerial vehicle (UAV) surveillance is a …
to detect intruding events in the scene of unmanned aerial vehicle (UAV) surveillance is a …
Two-axle test vehicle for damage detection for railway tracks modeled as simply supported beams with elastic foundation
For damage detection of railway tracks, a two-axle test vehicle is better than a single-axle
vehicle due to its capability of self standing and stability. This paper presents a new …
vehicle due to its capability of self standing and stability. This paper presents a new …
[HTML][HTML] Experimental measurement of track irregularities using a scaled track recording vehicle and Kalman filtering techniques
S Muñoz, P Urda, JL Escalona - Mechanical Systems and Signal …, 2022 - Elsevier
The actual trend of railway industry on track surveying is heading up the development of fast
automated methods for continuous monitoring of track quality. This paper presents a model …
automated methods for continuous monitoring of track quality. This paper presents a model …
Railroad condition monitoring with distributed acoustic sensing: an investigation of deep learning methods for condition detection
Distributed acoustic sensing (DAS) using fiber optic cables over an extensive length of
railroads is a well-suited technique for condition monitoring (CM) of railroads. Regardless of …
railroads is a well-suited technique for condition monitoring (CM) of railroads. Regardless of …
[HTML][HTML] Supervised contrastive learning-guided prototypes on axle-box accelerations for railway crossing inspections
Increasing demands on railway structures have led to a need for new cost-effective
maintenance strategies in recent years. Current dynamic railway track monitoring systems …
maintenance strategies in recent years. Current dynamic railway track monitoring systems …
Track modulus detection by vehicle scanning method
An effective technique is proposed for identifying the track modulus, ie, the foundation
stiffness of the rails, using the contact-point response of the moving test vehicle. First, for a …
stiffness of the rails, using the contact-point response of the moving test vehicle. First, for a …
Enhancement of signals from connected vehicles to detect roadway and railway anomalies
Frequent network-wide monitoring of the condition of roadways and railways prevent
fatalities, injuries, and financial losses. Even so, agencies cannot afford to inspect vast …
fatalities, injuries, and financial losses. Even so, agencies cannot afford to inspect vast …
Smarttag: An ultra low power asset tracking and usage analysis iot device with embedded ml capabilities
M Giordano, R Fischer, M Crabolu… - 2021 IEEE Sensors …, 2021 - ieeexplore.ieee.org
Assessing power tools usage helps to prolong their life cycle, as well as indicate targeted
maintenance interventions after a particular series of events, eg drops. In this work, we …
maintenance interventions after a particular series of events, eg drops. In this work, we …