Data-Driven Fault Text Classification of Urban Rail Transit Vehicle On-Board Signal System
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9319-2_30
Reference17 articles.
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2. You, Y., Yu, F., Xiaoping, W.: Overview of chinese text classification methods [J] J. Netw. Inf. Secur. 5(5), 1–8 (2019). https://doi.org/10.11959/j.issn.2096-109x.2019045. (in Chinese)
3. Xiaoli, L.: Research on Fault Classification of Railway Signal Equipment Based on Text Mining [D] Lanzhou Jiaotong University, 2020. (in Chinese)
4. Xiaoxi, H., Niuru, Tao, T.: Subway signal equipment fault text preprocessing based on term and semantic fusion [J]. J. Railway 43(2), 78–85 (2021). https://doi.org/10.3969/j.issn.1001-8360.2021.02.010. (in Chinese)
5. Mingjun, X., Jianfeng, H., Xiaoxi, H.: Fault diagnosis of urban rail ground signal based on fault log [J]. J. Beijing Jiaotong Univ. 44(5), 27–35 (2020). https://doi.org/10.11860/j.issn.1673-0291.20190138. (in Chinese)
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