Design and Analysis of a Flow-Control Valve With Controllable Pressure Compensation Capability for Mobile Machinery

Wang, Bo; Liu, He; Hao, Yajiang; Quan, Long; Li, Yunwei; Zhao, Bin

doi:10.1109/access.2021.3095402

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…Precise flow control is one of the key functions of flow control valves [28], and many flow control valve faults can affect the effectiveness of flow control [29]. Therefore, it is possible to establish a flow model for control valves.…”

Section: Lightgbm-based Residual Analysis For Online Fault Detectionmentioning

confidence: 99%

Fault Detection of Flow Control Valves Using Online LightGBM and STL Decomposition

Liu,

Zhao,

Zhang

2024

Actuators

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In the process industrial systems, flow control valves are deemed vital components that ensure the system’s safe operation. Hence, detecting faults in control valves is of significant importance. However, the stable operating conditions of flow control valves are prone to change, resulting in a decreased effectiveness of the conventional fault detection method. In this paper, an online fault detection approach considering the variable operating conditions of flow control valves is proposed. This approach is based on residual analysis, combining LightGBM online model with Seasonal and Trend decomposition using Loess (STL). LightGBM is a tree-based machine learning algorithm. In the proposed method, an online LightGBM is employed to establish and continuously update a flow prediction model for control valves, ensuring model accuracy during changes in operational conditions. Subsequently, STL decomposition is applied to the model’s residuals to capture the trend of residual changes, which is then transformed into a Health Index (HI) for evaluating the health level of the flow control valves. Finally, fault occurrences are detected based on the magnitude of the HI. We validate this approach using both simulated and real factory data. The experimental results demonstrate that the proposed method can promptly reflect the occurrence of faults through the HI.

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Section: Lightgbm-based Residual Analysis For Online Fault Detectionmentioning

confidence: 99%

Fault Detection of Flow Control Valves Using Online LightGBM and STL Decomposition

Liu,

Zhao,

Zhang

2024

Actuators

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“…Hydraulic transmission technology has the advantages of a flexible layout and high transmission efficiency, occupying an important position in modern engineering [1][2][3][4][5]. However, some precision hydraulic valves, hydraulic pumps, and other important hydraulic components are basically produced by foreign manufacturing companies.…”

Section: Introductionmentioning

confidence: 99%

Review of the Research on and Optimization of the Flow Force of Hydraulic Spool Valves

Sun

et al. 2023

Processes

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As one of the important factors affecting the stability of slide valves, the analysis and research of flow force are of great significance. In recent years, more and more experts and scholars have conducted research in this field, attempting to find methods to reduce or utilize the flow force of hydraulic spool valves. Flow force includes steady-state flow force and transient flow force, with steady-state flow force having the most significant impact on spool valves. The influencing factors of flow force are complex and diverse, including the cavitation phenomenon, shape of the throttling groove, and jet angle. At present, the main ways to reduce flow force are to design the structure of the spool valve, the structure of the valve sleeve, and the flow channel of the valve body. This article mainly reviews the definition, calculation methods, influencing factors, and methods for reducing the flow force of slide valves. This provides a new approach to reducing the flow force in hydraulic spool valves.

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Co-Simulation Platform for Simulating Heavy Mobile Machinery With Hydraulic Actuators and Various Hybrid Electric Powertrains

et al. 2022

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Design and Analysis of a Flow-Control Valve With Controllable Pressure Compensation Capability for Mobile Machinery

Cited by 6 publications

References 19 publications

Fault Detection of Flow Control Valves Using Online LightGBM and STL Decomposition

Fault Detection of Flow Control Valves Using Online LightGBM and STL Decomposition

Review of the Research on and Optimization of the Flow Force of Hydraulic Spool Valves

Co-Simulation Platform for Simulating Heavy Mobile Machinery With Hydraulic Actuators and Various Hybrid Electric Powertrains

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