IWOA-VMD Algorithm Based Pipeline Leakage Signal Denoising Method
The pipeline leakage signal is submerged in the background noise,which leads to the difficulty of location detection.By improving whale optimization algorithm(IWOA)to optimize the combination of decomposition scale and penalty factor in variational mode decomposition algorithm(VMD),and by calculating the Euclidian distance between the probability density value of intrinsic mode component and the probability density value of the original signal,the boundary point between the effective signal and the noise signal is determined,and then the signal is reconstructed.The results show that not only the 1 Hz low-frequency harmonic signal is detected,but also the frequency and amplitude of other frequency harmonic signals are more accurate.The field leakage signal is simulated by oil discharge experiment.Compared with other signal denoising algorithm,the reconstructed signal of IWOA-VMD algorithm has larger signal-to-noise ratio and smaller mean square error,and has stronger adaptability to the detection and location of slow leakage signal.The research results can provide theoretical basis for the improvement of pipeline integrity management.
whale optimization algrithmvariational mode decompositionEuclidian distancenoise reductionsignal-to-noise ratio
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