A Fault-Diagnosis Algorithm-Embedded Controller Design for Hydraulic Solenoid Valves in Industrial Applications
Author:
Funder
Ministry of SMEs and Startups
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12541-024-01108-2.pdf
Reference24 articles.
1. Ma, D., Liu, Z., Gao, Q., & Huang, T. (2022). Fault diagnosis of a solenoid valve based on multi-feature fusion. Applied Sciences, 12(12), 5904.
2. Guo, W., Cheng, J., Tan, Y., & Liu, Q. (2018). Solenoid valve fault diagnosis based on genetic optimization MKSVM, presented at the IOP Conference Series: Earth and Environmental Science (p. 042134). IOP Publishing.
3. Jo, S. H., Seo, B., Oh, H., Youn, B. D., & Lee, D. (2020). Model-based fault detection method for coil burnout in solenoid valves subjected to dynamic thermal loading. IEEE Access: Practical Innovations, Open Solutions, 8, 70387–70400.
4. Utah, M., & Jung, J. (2020). Fault state detection and remaining useful life prediction in AC powered solenoid operated valves based on traditional machine learning and deep neural networks. Nuclear Engineering and Technology, 52(9), 1998–2008.
5. Guo, H., Wang, K., Cui, H., Xu, A., & Jiang, J. (2016). A novel method of fault detection for solenoid valves based on vibration signal measurement, presented at the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)(pp. 870–873). IEEE.
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