Time-series Independent Component Analysis-aided Fault Detection for Running Gear Systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12555-021-0276-9.pdf
Reference31 articles.
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3. D. Zhou, Y. Zhao, Z. Wang, X. He, and M. Gao, “Review on diagnosis techniques for intermittent faults in dynamic systems,” IEEE Transactions on Industrial Electronics, vol. 67, no. 3, pp. 2337–2347, 2020.
4. L. Yin, P. Zhu, and T. Li, “Fault detection and diagnosis for delay-range-dependent stochastic systems using output PDFs,” International Journal of Control, Automation, and Systems, vol. 15, no. 4, pp. 1701–1709, 2017.
5. C. Cheng, X. Qiao, H. Luo, G. Wang, W. Teng, and B. Zhang, “Data-driven incipient fault detection and diagnosis for the running gear in high-speed trains,” IEEE Transactions on Vehicular Technology, vol. 69, no. 9, pp. 9566–9576, 2020.
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Dynamic Weighted Slow Feature Analysis-based Fault Detection for Running Gear Systems of High-speed Trains;International Journal of Control, Automation and Systems;2024-05-28
2. Hybrid Intelligent Fault Diagnosis Model Based on Improved MPCA-V for Sensors in a Laboratory-Scale Wastewater Treatment Process;Industrial & Engineering Chemistry Research;2022-12-07
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