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    炉膛压力管道微弱泄漏信号检测方法研究

    Weak Leakage Signal Detection for Boiler Pressure Piping

    • 摘要: 对电站锅炉压力管道初始泄漏进行微弱信号检测,提出经验模态分解(EMD)联合自相关差分Duffing振子(CD-EMD)方法.将0.6 MPa气动声源加入炉膛背景噪声信号,控制信噪比,对比EMD方法与小波变换的结果.降低信噪比,并将EMD联合Duffing振子(D-EMD)与CD-EMD方法的检测结果进行对比.结果表明:EMD方法能够在-5 dB信噪比下从炉膛背景噪声中识别出待检测信号,效果明显优于小波变换;在-24 dB信噪比下,D-EMD方法受初始相位的干扰严重,无法正常判别,CD-EMD方法能够有效地克服初始相位引起的误判,同时CD-EMD方法可通过设定经验阈值进行判别,提高了系统检测的实时性.

       

      Abstract: The method of empirical mode decomposition (EMD) combined with cross-correlation difference-Duffing oscillator (CD-EMD) was proposed for weak signal detection of initial leakage in boiler pressure piping. By adding the pneumatic sound signal of 0.6 MPa to the furnace background noise signal, weak leakage detection was numerically simulated, and the detection results were compared between EMD and wavelet transform under fixed signal to noise ratios. Detection results were also compared between EMD combined with Duffing oscillator (D-EMD) and CD-EMD by reducing the signal to noise ratios. Results show that with EMD method, the signal to be detected can be identified from the furnace background noise at -5 dB signal to noise ratio, and the effect is obviously better than wavelet transform; at -24 dB signal to noise ratio, the signal cannot be identified normally by D-EMD method due to the serious interference of initial phase; CD-EMD method can effectively overcome the misjudgment caused by initial phase, which therefore can improve the real-time property of judgement by setting the empirical threshold.

       

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