A Machine Learning-Based Approach for Fault Detection of Railway Track and its Components
The hard equation of railway safety versus the high commercial profits can only be achieved through the use of new inspection methods supported by modern technologies. The track and its components can have different types of troubles, such as rail surface defects, broken sleepers, missing fasteners,...
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| Format: | Others |
| Language: | English |
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Luleå tekniska universitet, Drift, underhåll och akustik
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-81275 |