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Tram track degradation prediction

2019
Transport organisations have historically focused on major construction and expansion of infrastructure. After completing the expansion of transport networks, the emphasis has increasingly shifted from developing new infrastructure to intelligently maintaining the existing ones. In recent years, economic constraints have influenced budget allocation to
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Development of improved railway track degradation models

Structure and Infrastructure Engineering, 2008
There is a need among railway track maintenance programmers for a better understanding of the long-term behaviour of railway track systems and for improved predictive techniques. The use of accurate techniques to predict railway track conditions increases track safety and maintenance effectiveness.
Javad Sadeghi, Hossein Askarinejad
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The effects of tamping on railway track geometry degradation

Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2013
The UK rail industry remains a safe, reliable and competitive alternative to other forms of transport. Maintaining such an ageing, increasingly utilized, railway network with limited financial resources is a major challenge. By utilizing data on the UK network track geometry collected over six years, along with available records of maintenance ...
M Audley, JD Andrews
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Track degradation as a consequence of distributed sensor fusion

9th IET Data Fusion & Target Tracking Conference (DF&TT 2012): Algorithms & Applications, 2012
It is often taken for granted that measurement-level data fusion must necessarily give rise to an improvement in the track picture, particularly in situations where the sensors are spatially distributed. In many cases, this assumption is justified - an obvious example is where each sensor individually produces too sparse a set of plots to support a ...
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Effects of spectral degradation on the cortical tracking of the speech envelope

INTERSPEECH 2023, 2023
Alexis Deighton MacIntyre   +1 more
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Prediction for geometric degradation of track on machine learning

Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023
Junjie Hao, Rengkui Liu
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Artificial intelligence aided track degradation prediction

Track geometry defects and broken rails are among primary causes of freight-train derailments in the United States. Track degradation modeling and prediction can be used to support preventive maintenance by identifying and prioritizing track segments that are more prone to track defects, thus reducing accidents and service disruptions.This dissertation
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