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气体阀门内漏声发射信号特征提取方法研究 被引量:4

Research on Feature Extraction Method of Internal Leakage Acoustic Emission Signals in Gas Valves
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摘要 针对石油石化装置气体管道阀门内漏难以检测和量化分析的问题,采用声发射技术对气体管道阀门内漏现象进行在线监测。在小直径阀门室内实验装置和大直径阀门室外模拟装置上,利用声发射特征参量的时域变化情况实现不同压力工况下阀门内漏状态的在线检测,得到不同工况下泄漏量与声发射特征参量的对应关系,并利用傅里叶变换和小波包分解等时频分析方法,在频域角度得到了能够表征内漏状态的特征频率信息,实现了复杂背景噪声下阀门内漏声发射信号的有效提取。实验结果表明,采用的信号特征提取方法能够从时频角度有效得到气体阀门内漏声发射特征信息,进而实现内漏状态的有效检测。 For the problem that it is difficult to detect and quantify the internal leakage of gas pipeline valve in petrochemical plants,the acoustic emission technology is used to monitor the internal leakage of gas pipeline valve on-line.On the small-diameter valve laboratory experiment device and the largediameter valve outdoor simulation device,the on-line detection of valve internal leakage status under different pressure conditions is realized by using the time-domain variation of acoustic emission characteristic parameters,and the corresponding relationship between leakage amount and acoustic emission characteristic parameters under different conditions is obtained.Time-frequency analysis methods such as Fourier transform and wavelet packet decomposition are used to obtain the characteristic frequency information that can characterize the internal leakage state from the frequency domain perspective,and then the effective extraction of the acoustic emission signal in the valve under complex background noise is realized.The experimental results present that the above signal feature extraction method can effectively obtain the acoustic emission feature information of gas valve leakage from the time-frequency perspective,and then the effective detection of internal leakage state can be realized.
作者 张璐莹 张宏远 徐洋 姜智通 蒋鹏 ZHANG Luying;ZHANG Hongyuan;XU Yang;JIANG Zhitong;JIANG Peng(Northeast Petroleum University;China Petroleum Pipeline Engineering Co.,Ltd.)
出处 《油气田地面工程》 2019年第12期20-26,共7页 Oil-Gas Field Surface Engineering
基金 东北石油大学引导性创新基金 广东省科技计划项目
关键词 气体管道 阀门内漏 声发射 傅里叶变换 小波包分解 gas pipeline valve internal leakage acoustic emission Fourier transform wavelet packet decomposition
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