Quantitative detection of valve internal air leakage based on acoustic emission theory

被引:0
|
作者
Li, Zhen-Lin [1 ]
Zhang, Hai-Feng [1 ]
Xia, Guang-Hui [1 ]
机构
[1] College of Mechanical and Transportation Engineering, China University of Petroleum, Beijing 102249, China
来源
关键词
Fiber optic sensors;
D O I
暂无
中图分类号
学科分类号
摘要
The quantitative relations were established between the valve internal air leakage rate and the root mean squares of characteristic parameters of acoustic emission signal (AERMS). The valves internal air leakages were detected by AE testing on test platform and the effects of factors such as the valve internal leakage rate and the valve type on AERMS were discussed. It is clearly demonstrated that the volume rate of air leakage can be successfully detected by using AERMS, and the maximum measurement error of acoustic emission detection technology is within 10%.
引用
下载
收藏
页码:77 / 81
相关论文
共 50 条
  • [1] Internal valve leakage detection using an acoustic emission measurement system
    Sharif, MA
    Grosvenor, RI
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 1998, 20 (05) : 233 - 242
  • [2] Smart portable noninvasive instrument for detection of internal air leakage of a valve using acoustic emission signals
    Prateepasen, A.
    Kaewwaewnoi, W.
    Kaewtrakulpong, P.
    MEASUREMENT, 2011, 44 (02) : 378 - 384
  • [3] Experimental Research on Detection of Internal leakage of Valves in Pressure Air Pipes based on Acoustic Emission Technology
    Wu, Mengmeng
    Dong, Xiuchen
    Yang, Jiaxuan
    Xue, Shunyan
    4TH INTERNATIONAL CONFERENCE ON FLUID MECHANICS AND INDUSTRIAL APPLICATIONS (FMIA 2020), 2020, 1600
  • [4] Prediction method of ball valve internal leakage rate based on acoustic emission technology
    Shi, Mingjiang
    Liang, Yanbing
    Qin, Liansheng
    Zheng, Zhen
    Huang, Zhiqiang
    FLOW MEASUREMENT AND INSTRUMENTATION, 2021, 81
  • [5] Standard deviation based acoustic emission signal analysis for detecting valve internal leakage
    Ye, Guo-Yang
    Xu, Ke-Jun
    Wu, Wen-Kai
    SENSORS AND ACTUATORS A-PHYSICAL, 2018, 283 : 340 - 347
  • [6] Acoustic emission recognition method for valve internal leakage based on convolutional attention mechanism
    Huang, Xin
    Qu, Wenzhong
    Xiao, Li
    Zhendong yu Chongji/Journal of Vibration and Shock, 2024, 43 (09): : 105 - 114
  • [7] Mixed multiple-variable modelling of acoustic emission signals for valve internal leakage detection
    Ye, Guo-Yang
    Xu, Ke-Jun
    Wu, Wen-Kai
    IET SCIENCE MEASUREMENT & TECHNOLOGY, 2021, 15 (06) : 487 - 498
  • [8] Classification modeling of valve internal leakage acoustic emission signals based on optimal wavelet scattering coefficients
    Liang, Li -Ping
    Zhang, Jun
    Xu, Ke-Jun
    Ye, Guo-Yang
    Yang, Shuang-Long
    Yu, Xin-Long
    MEASUREMENT, 2024, 236
  • [9] Investigation of the relationship between internal fluid leakage through a valve and the acoustic emission generated from the leakage
    Kaewwaewnoi, W.
    Prateepasen, A.
    Kaewtrakulpong, P.
    MEASUREMENT, 2010, 43 (02) : 274 - 282
  • [10] ONLINE ACOUSTIC SURVEY FOR INTERNAL VALVE LEAKAGE
    DIMMICK, JG
    WICHERT, RP
    TRANSACTIONS OF THE AMERICAN NUCLEAR SOCIETY, 1981, 39 : 686 - 687