This paper proposes a fault diagnosis method based on subspace identification for the leakage fault detection of valve-controlled hydraulic cylinders. Firstly, the state-space model for the system is established, in which the external force on the piston of the hydraulic cylinder is selected as input signal, and the pressure of the two chambers, displacement and velocity of piston rod are chosen as state variables. Then, the estimation value of specific elements of the system matrix can be obtained in terms of the subspace identification theory. On this basis, the existence, type and level of the leakage fault are determined. Finally, the numerical simulation is conducted through MATLAB-Simulink to verify the proposed method. The results demonstrate that the proposed method is effective and has high accuracy.
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BATH/ASME 2018 Symposium on Fluid Power and Motion Control
September 12–14, 2018
Bath, UK
Conference Sponsors:
- Fluid Power Systems and Technology Division
ISBN:
978-0-7918-5196-8
PROCEEDINGS PAPER
Diagnosis Method for Valve-Controlled Hydraulic Cylinder Leakage Based on Subspace Identification
Junxia Guo,
Junxia Guo
Shanghai Jiao Tong University, Shanghai, China
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Jianfeng Tao,
Jianfeng Tao
Shanghai Jiao Tong University, Shanghai, China
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Lin Li,
Lin Li
Shanghai Jiao Tong University, Shanghai, China
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Chengliang Liu
Chengliang Liu
Shanghai Jiao Tong University, Shanghai, China
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Junxia Guo
Shanghai Jiao Tong University, Shanghai, China
Jianfeng Tao
Shanghai Jiao Tong University, Shanghai, China
Lin Li
Shanghai Jiao Tong University, Shanghai, China
Chengliang Liu
Shanghai Jiao Tong University, Shanghai, China
Paper No:
FPMC2018-8805, V001T01A002; 6 pages
Published Online:
November 20, 2018
Citation
Guo, J, Tao, J, Li, L, & Liu, C. "Diagnosis Method for Valve-Controlled Hydraulic Cylinder Leakage Based on Subspace Identification." Proceedings of the BATH/ASME 2018 Symposium on Fluid Power and Motion Control. BATH/ASME 2018 Symposium on Fluid Power and Motion Control. Bath, UK. September 12–14, 2018. V001T01A002. ASME. https://doi.org/10.1115/FPMC2018-8805
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