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基于压电传感器的管道泄漏信号可靠性识别技术研究 被引量:6

Research on Pipeline Leak Signal Reliably Identification Based on Piezoelectric Sensor
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摘要 管道泄漏检测的可靠性主要取决于泄漏信号的信噪比,泄漏信号信噪比的提高主要由传感器和对信号的处理方法决定。在定量分析的基础上,得出了基于压电传感器的管道泄漏检测方法具有比基于压力传感器的负压波法更高的泄漏信号信噪比。通过信号分析,论证了平滑滤波对于提高泄漏信号信噪比的必要性,提出了用区间信号能量来突出泄漏信号的方法。分析比较了实际检测信号幅值、区间信号能量和区间信号平均能量的平方3种方法下泄漏信号的信噪比,提出了用基于区间信号平均能量平方的顺序能量比率法进行管道泄漏信号识别的方法。结果表明该方法可以极大地提高泄漏信号信噪比和泄漏检测可靠性。 The reliability of leak detection depends on signal noise ratio (SNR), but the sensor and signal processing determine the SNR of leak signal. Based on quantitative analysis, it is concluded that piezoelectric sensor based leak detection has higher SNR than that of pressure transducer based negative pressure wave leak detection. Through signal processing, the necessity of moving average filter for SNR is demonstrated, and the method for characterizing leak signal with interzone signal energy is proposed. The SNRs of detected signal, interzone signal energy and the square of average interzone signal energy are compared. A leak detection method with sequential energy percentage based on the square of average interzone signal energy is proposed. Analysis results showed that the SNR of leak signal and reliability of system are improved greatly with this novel method.
出处 《计量学报》 EI CSCD 北大核心 2006年第4期343-346,共4页 Acta Metrologica Sinica
关键词 计量学 泄漏检测 压电传感器 信号能量 顺序能量比率 Metrology Leak detection Piezoelectric sensor Signal energy Sequential energy percentage
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  • 1王桂增,董东,方崇智.基于Kullback信息测度的长输管线的泄漏检测[J].信息与控制,1989,18(1):14-18. 被引量:16
  • 2霍臻,陈翠梅,朱润祥.压力管道声发射泄漏检测[J].无损检测,1997,19(4):105-107. 被引量:17
  • 3陈积懋.管道无损检测与评价技术[J].石油化工设备技术,1997,18(1):59-62. 被引量:20
  • 4FUCHS H V. Ten yeats of experience with leak detection by acoustic signal analysis[J]. Appl Acoustic, 1999,33: 1-19.
  • 5CARPESTER S FL Sources of acouslic emission generated during plaslic deformalion of 7075 aluminium alloys[J].Metallurgical transaclion, 1977, 8(10): 1629-1632.
  • 6DUNEGAN H L, HARRIS D. Acoustic emission, a new non-destructive tool[J]. Ultrasonics, 1969, 7(7): 160-166.
  • 7KRZYSZTOF Jemielniak. Some aspect of acoustic emission signal pro-processing[J]. Mat Proc Tech, 2001, 109:242-247.
  • 8傅京孙,模式识别应用,1990年
  • 9Ellul I R. Advances in pipeline leak detection techniques. Pipes & pipelines international, 1989, 34(3) :7 ~ 12
  • 10Sandberg C, Holmes J, Mccoy K. Application of a continuous leak detection system to pipelines and associated equipment. IEEE transaction on industry applications, 1989,25 (5) :906 ~ 909

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