Condition Monitoring of Railway Vehicle Suspension System Based on PCA-SVM Method
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-70235-8_23
Reference19 articles.
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2. Sun, Q., Chen, C., Liu, X.: Comparative study of stator current-based and vibration-based methods for railway traction motor bearing cage fault diagnosis at high-speed condition. Struct. Health Monit. 22(2), 978–992 (2023)
3. Muñoz, S., Urda, P., Escalona, J.L.: Experimental measurement of track irregularities using a scaled track recording vehicle and Kalman filtering techniques. Mech. Syst. Signal Process. 169(15), 108625 (2022)
4. Hong, N., Li, L., Yao, W., et al.: High-speed rail suspension system health monitoring using multi-location vibration data. IEEE Trans. Intell. Transport. Syst. 21(7), 2943–2955 (2020)
5. Strano, S., Terzo, M.: Review on model-based methods for on-board condition monitoring in railway vehicle dynamics. Adv. Mech. Eng. 11(2), 1687–8140 (2019)
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