工业应用中液压电磁阀的故障诊断算法-嵌入式控制器设计

IF 1.9 4区 工程技术 Q2 Engineering International Journal of Precision Engineering and Manufacturing Pub Date : 2024-08-30 DOI:10.1007/s12541-024-01108-2
Seungjin Yoo, Joon Ha Jung, Jai-Kyung Lee, Sang Woo Shin, Dal Sik Jang
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摘要

液压电磁阀(HSV)在工业应用中广泛用于流体控制。与其他机械部件一样,HSV 在工业应用中也会出现老化和故障。虽然之前已经提出了几种故障诊断方法来检测这些故障,但之前的研究并未考虑在控制器上实际执行这些方法。因此,为了确保 HSV 在现场的可靠运行,本研究论文提出了一种创新的 HSV 控制器设计,它能够处理所提出的故障诊断算法。在建议的工作中,硬件设计用于发送和接收阀门诊断算法的信号和数据。在软件方面,提出了一种架构,使故障诊断算法能够在传统的微处理器中进行处理。本研究在实际液压系统上构建并测试了所提出的控制器设计。结果表明,所提出的故障诊断算法已成功嵌入微控制器。
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A Fault-Diagnosis Algorithm-Embedded Controller Design for Hydraulic Solenoid Valves in Industrial Applications

Hydraulic solenoid valves (HSVs) are widely used for fluid control in industrial applications. Like other mechanical parts, HSVs deteriorate and faults occur during their use in industrial settings. Although several prior fault-diagnosis methods have been proposed to detect these faults, previous studies have not considered the actual implementation of the methods on the controller. Thus, to ensure reliable operation of HSVs in the field, this research paper presents an innovative HSV controller design that is able to process the proposed fault-diagnosis algorithm. In the proposed work, the hardware is designed to transmit and receive signals and data for the valve-diagnosis algorithm. For the software, an architecture is proposed to enable the fault-diagnosis algorithm to be processed in a conventional microprocessor. In this research, the proposed controller design was built and tested on an actual hydraulic system. The results show that the proposed fault-diagnosis algorithm has been successfully embedded in the microcontroller.

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来源期刊
CiteScore
4.10
自引率
10.50%
发文量
115
审稿时长
3-6 weeks
期刊介绍: The International Journal of Precision Engineering and Manufacturing accepts original contributions on all aspects of precision engineering and manufacturing. The journal specific focus areas include, but are not limited to: - Precision Machining Processes - Manufacturing Systems - Robotics and Automation - Machine Tools - Design and Materials - Biomechanical Engineering - Nano/Micro Technology - Rapid Prototyping and Manufacturing - Measurements and Control Surveys and reviews will also be planned in consultation with the Editorial Board.
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