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    Real-Time Railhead Friction Estimation Using Machine Learning: Development of an On-Board-Train Data Capture System 

    Source: Journal of Tribology:;2026:;volume( 148 ):;issue:008:;page 1526
    Author(s): Folorunso, Morinoye Olufunmibi; Watson, Mike; Tomlinson, Kate; Lewis, Roger
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Low adhesion between the wheel and rail interface remains a significant challenge for the railway industry, particularly during the autumn season, leading to delays and safety risks such as station overruns and ...
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