Author:
Gong Tingyan,Cao Congyong,Wang Chen,Wu Zhijin
Publisher
Springer Nature Singapore
Reference6 articles.
1. Zhang, K.: The railway turnout fault diagnosis algorithm based on BP neural network. In: IEEE International Conference on Control Science & Systems Engineering. IEEE (2015)
2. Bian, C., Yang, S., Huang, T., et al.: Degradation state mining and identification for railway point machines. Reliab. Eng. Syst. Saf. 188(08), 432–443 (2019)
3. Yang, J., Li, X., Xing, D., Chen, G.: Switch fault diagnosis based on DBSCAN/SOM. J Meas. Sci. Instrum. 28(02), 1–10 (2021)
4. Wang, D., Chen, G., Xing, D., Liang, D.: Research on fault diagnosis method of switch control circuit based on SVM-AdaBoost. J. Meas. Sci. Instrum. 11(03), 251–257 (2020)
5. Kim, M., Kang, D., Hong, B.: Geometric mean based boosting algorithm with over-sampling to resolve data imbalance problem for bankruptcy prediction. Expert Syst. Appl. 42(3), 1074–1082 (2015)