辽宁石油化工大学学报

辽宁石油化工大学学报 ›› 2015, Vol. 35 ›› Issue (3): 65-68.DOI: 10.3696/j.issn.1672-6952.2015.03.016

• 计算机与自动化 • 上一篇    下一篇

基于小波原理和流体静电信号诊断矿用液压系统故障原理

王晓蕾1,阚 哲1,张雷雷2   

  1.  
    ( 1. 辽宁石油化工大学, 辽宁抚顺1 1 3 0 0 1; 2. 抚顺石化工程建设有限公司, 辽宁抚顺1 1 3 0 0 6)
  • 出版日期:2015-06-25 发布日期:2015-06-18
  • 作者简介:王晓蕾( 1 9 8 0 - ) , 硕士, 讲师, 从事数字图象处理、 传感器测量方面的研究; E - m a i l : c h o o s e b a n k 2 0 0 6@1 2 6. c o m。
  • 基金资助:
    辽宁省教育厅一般项目( L 2 0 1 2 1 2 6) 。

The Fault Diagnosis Principle for Mine Hydraulic System Based  on Wavelet Principle and Fluid Electrostatic Signals

Wang Xiaolei1, Kan Zhe1, Zhang Leilei2   

  1. (1.Liaoning Shihua University, Fushun Liaoning 113001, China| 2. Fushun Petrochemical Engineering Construction Company, Fushun Liaoning 113006,China)
  • Published:2015-06-25 Online:2015-06-18

摘要: 由于矿用液压系统故障的形式和种类的多样化, 因此只能依靠人工经验对故障进行诊断, 这在很大
程度上制约了矿用液压系统设备的应用。针对液压系统中出现气泡( 或气穴) 的现象, 进行了模拟实验, 提出了一种
新的测量方法与诊断方法。通过对静电随机信号进行小波变换, 在实验和理论分析过程中发现, 通过小波变换可以
较准确地诊断出液压系统出现气泡的时刻, 有利于诊断出液压系统由气泡引起的故障形式。实验结果表明, 对静电
信号取小波变换的液压系统故障诊断方法是可行的, 判断的正确率达到9 5%左右。

关键词: 液压系统, 静电传感器, 小波变换, 故障诊断, 流体静电信号

Abstract: Mine hydraulic system fault diagnosis with a variety of forms can only rely on the experience and knowledge, and this restricts the application of the hydraulic system in mine equipments to a large extent. The simulation experiments were made and a new measuring and diagnosis method was proposed aiming at the phenomenon of appearing the cavitation in hydraulic system. Through the wavelet transform of the static random signal, it was found during the experimental and theoretical analysis that the process of using wavelet transform could accurately diagnose the cavitation appearing and cavitation occurs in hydraulic system of the moment, and it was a bigger help for the fault diagnosis of hydraulic system of the form by the cavitation of the oil pipe. The experimental results show that the method of hydraulic system fault diagnosis was feasible with the wavelet transform to the electrostatic signal, and the judgment was correct in about 95%.

Key words: Hydraulic system, Electrostatic sensor, Wavelet transform, Fault diagnosis, Fluid electrostatic signal

引用本文

王晓蕾,阚 哲,张雷雷. 基于小波原理和流体静电信号诊断矿用液压系统故障原理[J]. 辽宁石油化工大学学报, 2015, 35(3): 65-68.

Wang Xiaolei, Kan Zhe, Zhang Leilei. The Fault Diagnosis Principle for Mine Hydraulic System Based  on Wavelet Principle and Fluid Electrostatic Signals[J]. Journal of Liaoning Petrochemical University, 2015, 35(3): 65-68.

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链接本文: https://journal.lnpu.edu.cn/CN/10.3696/j.issn.1672-6952.2015.03.016

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