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Bai et al., 2016 - Google Patents

Classification-learning-based framework for predicting railway track irregularities

Bai et al., 2016

Document ID
13018208435425418300
Author
Bai L
Liu R
Sun Q
Wang F
Wang F
Publication year
Publication venue
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit

External Links

Snippet

Railway track irregularities are key factors that affect the safety of trains and the comfort of passengers. In this study, a railway track is separated into consecutive track maintenance units, which are used as research objects. We propose a novel framework, which is referred …
Continue reading at journals.sagepub.com (other versions)

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    • G06Q10/00—Administration; Management
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