LAPSE:2024.0471
Published Article
LAPSE:2024.0471
Optimizing Accumulator Performance in Hydraulic Systems through Support Vector Regression and Rotational Factors
Zilong Xu, Juan Zhou, Hu Chen, Bo Xu, Zhengxiang Shen
June 5, 2024
Abstract
The piston-type accumulator is an energy storage device in hydraulic−pneumatic systems, playing a significant role in industries such as petrochemicals, heavy machinery, and steel metallurgy. The displacement parameters of the piston-type accumulator are vitally important for fault diagnosis and early warning in hydraulic systems. Traditional displacement measurement methods cannot meet the requirements of the internal testing environment of the accumulator. Therefore, this paper proposes an accumulator piston displacement signal compensation method based on rotational factors and support vector regression. Firstly, empirical mode decomposition is utilized to denoise the signal. Then, rotational factors are used to generate a delay compensation module to compensate for the signal attenuation and time delay caused by metallic reflection and scattering within the cylinder of the radar signal. The support vector regression model is improved based on a hash table to enhance its computational efficiency and achieve radar displacement signal compensation. Finally, a simulation experiment is designed to verify the effectiveness of the proposed method.
Keywords
error compensation, millimeter-wave radar, neural network, piston accumulator
Suggested Citation
Xu Z, Zhou J, Chen H, Xu B, Shen Z. Optimizing Accumulator Performance in Hydraulic Systems through Support Vector Regression and Rotational Factors. (2024). LAPSE:2024.0471
Author Affiliations
Xu Z: College of Energy, Environment and Safety Engineering, China Jiliang University, Hangzhou 310018, China
Zhou J: College of Energy, Environment and Safety Engineering, China Jiliang University, Hangzhou 310018, China [ORCID]
Chen H: Ningbo Special Equipment Inspection and Research Institute, Ningbo 315020, China
Xu B: Ningbo Special Equipment Inspection and Research Institute, Ningbo 315020, China
Shen Z: Ningbo Special Equipment Inspection and Research Institute, Ningbo 315020, China
Journal Name
Processes
Volume
12
Issue
5
First Page
1036
Year
2024
Publication Date
2024-05-20
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr12051036, Publication Type: Journal Article
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LAPSE:2024.0471
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https://doi.org/10.3390/pr12051036
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