Association Mining for Operation and Maintenance Safety Risks of EMUs Based on Unstructured Event Data
Abstract The safety features of Electric Multiple Units (EMUs) are intricate and redundant, and the associated data is massive, multi-sourced, heterogeneous, and interdisciplinary. Constructing appropriate safety feature quantities by fully and effectively utilizing this data is a prerequisite for e...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-03-01
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| Series: | Urban Rail Transit |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40864-024-00239-z |
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