Physical Model-based Rapid Quantitative Diagnosis of Solenoid On–Off Valve Spool Stiction Faults
Author:
Funder
National Key Research and Development Program of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13369-024-09483-8.pdf
Reference24 articles.
1. Shi, J.; Yi, J.; Ren, Y.; Li, Y.; Zhong, Qi.; Tang, H.; Chen, L.: Fault diagnosis in a hydraulic directional valve using a two-stage multi-sensor information fusion. Measurement 179, 109460 (2021). https://doi.org/10.1016/j.measurement.2021.109460
2. Dai, J.; Tang, J.; Huang, S.; Wang, Y.; Methods, S.-B.: Review and prospects. Chin. J. Mech. Eng. 32, 75 (2019). https://doi.org/10.1186/s10033-019-0388-9
3. Hao, T.; Li, S., Liu, J.; Hou, J; Gong, Y.: Characterization of Solenoid On-Off Valve Faults: A Faster Analytical Modeling Approach, Proceedings of the ASME/BATH 2021 Symposium on Fluid Power and Motion Control. ASME/BATH Symposium on Fluid Power and Motion Control. (2021) Virtual, Online. October 19–21, 2021, V001T01A049. ASME. https://doi.org/10.1115/FPMC2021-69415.
4. Benjamin. B.; Jürgen, W.: Enhancing safety of independent metering systems for mobile machines by means of fault detection, Proceedings of the 15th Scandinavian International Conference on Fluid Power, (2017), https://doi.org/10.3384/ecp1714492.
5. Kong, X.; Cai, B.; Liu, Y.; Zhu, H.; Liu, Y.; Shao, H.; Yang, C.; Li, H.; Mo, T.: Optimal sensor placement methodology of hydraulic control system for fault diagnosis. Mech. Sys. Signal Process. 174, 109069 (2022). https://doi.org/10.1016/j.ymssp.2022.109069
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