Detecting wheel slip from railway operational data through a combined wavelet, long short-term memory and neural network classification method

Author:

Namoano Bernadin,Emmanouilidis ChristosORCID,Starr Andrew

Funder

Cranfield University

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Reference35 articles.

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3. Study of wheel-rail adhesion during braking maneuvers;Bosso;Procedia Struct. Integr.,2019

4. Model-based condition monitoring at the wheel-rail interface;Charles;Veh. Syst. Dyn.,2008

5. Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters;Daugman;J. Opt. Soc. Am.,1985

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