A strategy for out-of-roundness damage wheels identification in railway vehicles based on sparse autoencoders
Abstract Wayside monitoring is a promising cost-effective alternative to predict damage in the rolling stock. The main goal of this work is to present an unsupervised methodology to identify out-of-roundness (OOR) damage wheels, such as wheel flats and polygonal wheels. This automatic damage identif...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-06-01
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| Series: | Railway Engineering Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40534-024-00338-4 |
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