Author:
Zhou Xuefeng,Qian Cunyuan
Publisher
Springer Nature Singapore
Reference11 articles.
1. Zhou, L.J., Dang, J.W., Wang, Y.X., Zhang, Z.H., et al.: Fault Diagnosis for on-board equipment of train control system based on CNN-CSRF hybrid model. Tiedao Xuebao, 94–101 (2020)
2. Chen, L.X., Ou, D.X., Yao, H.J., et al.: Research on fault diagnosis of vehicle equipment for high-speed railway based on case-based reasoning. In: International Conference on Electrical and Information Technologies for Rail Transportation, pp. 343–353. Springer, Singapore (2017)
3. Peng, C., Shangguan, W., Cai, B.G., Xing, Y.L., et al.: Fault prediction method for on-board equipment of CTCS based on Seq2Seq model using LSTM. In: 2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing), pp. 1–5. IEEE (2021)
4. Meng, Y.Y., Shangguan, W., Cai, B.G., Zhang, J.Z., et al.: Fault prediction method of the on-board equipment of train control system based on grey-ENN. In: 2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), pp. 944–949. IEEE (2019)
5. Lu, R.J., Lin, H.X., Xu, L., Lu, R., Zhao, Z. X. Bai, W.S., et al.: Fault diagnosis for on-board equipment of train control system based on CNN and PSO-SVM hybrid model. J. Meas. Sci. Instrum. 430–438 (2022)