摘要
针对压力气体管道泄漏孔径大小难以定量检测的问题,提出了基于特征函数的孔径当量估算方法。该方法研究了在定压定温条件下压力气体管道微孔泄漏噪声作为泄漏信号源在40 kHz超声频段的数据特征,并提取泄漏信号时域与频域的特征参数,建立各特征参数与泄漏孔径之间的函数关系,通过误差分析选取最优特征函数,结合MATLAB信号处理进而估算出微泄漏孔径大小。实验结果表明,泄漏信号希尔伯特相对能量与孔径大小三阶拟合所得特征函数,泄漏孔径估算值与泄漏孔径实际值误差在0.05 mm,在误差范围内验证孔径识别率为100%,达到了研究对泄漏孔径当量估算的目的,对定量分析气体管道微小泄漏孔当量具有一定的借鉴意义。
Aiming at the problem that it is difficult to quantitatively detect the leakage pore size of pressure gas pipelines,a method for estimating pore size equivalent based on characteristic function is proposed.This method studies the data characteristics of the micro-hole leakage noise of the pressure gas pipeline under constant pressure and temperature conditions as the leakage signal source in the 40 kHz ultrasonic frequency band,and extracts the characteristic parameters of the leakage signal in the time domain and frequency domain,established the functional relationship between each characteristic parameter and the leakage aperture,and selected the optimal characteristic function through error analysis,combined with MATLAB signal processing,the aperture size of micro-leakage is estimated.The experimental results show that the Hilbert relative energy of the leakage signal and the aperture size are fitted to the characteristic function of the third order,and the error between the estimated value of the leakage aperture and the actual value of the leakage aperture is within 0.05 mm.And the aperture recognition rate is 100%within the error range.The purpose of the study on the estimation of the leakage aperture equivalent is provided,and it can be used for reference in quantitative analysis of the equivalent of micro leakage holes in gas pipelines.
作者
李兵
王浩全
鹿国培
王兆旭
汤振鹤
Li Bing;Wang Haoquan;Lu Guopei;Wang Zhaoxu;Tang Zhenhe(School of Information and Communication Engineering,North University of China,Taiyuan 030051,China;Shandong Institute of Non-metallic Materials,Jinan 250031,China)
出处
《电子测量技术》
北大核心
2021年第14期135-141,共7页
Electronic Measurement Technology
关键词
气体泄漏
特征参数
特征函数
漏孔当量
gas leakage
characteristic parameter
characteristic function
leakage equivalent