Pipeline blocking state assessment based on optimized VMD and continuous hidden Markov model

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Journal of Vibration and Shock ›› 2020, Vol. 39 ›› Issue (22) : 214-222.

WU Linfeng1,2, FENG Zao1,2, ZHU Xuefeng1,2

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Abstract

Aiming at assessing the degree of fault in the dynamic evolution of the U-tube blocking status, an evaluation method based on the low-frequency sound pressure signal analysis and continuous hidden Markov model (CHMM) was proposed.First, acoustic waves as excitation were used to observe the characteristics of sediment in the U-tube.The low-frequency sound pressure signals were decomposed by the variational mode decomposition (VMD), the optimal mode decomposition number k of the VMD was determined according to the component amplitude spectrum and the effective intrinsic mode function (IMF) components were screened out by sound pressure level transformation.Then the multi-scale entropy of the IMF components were extracted so as to construct the feature vectors that can effectively represent the signals.Finally, the feature vectors were used in the CHMM model training and a model for evaluating the blocking degree of the U-tube was established.The evaluation results show that the blocking status of the U-tube can be evaluated effectively by the model proposed, which has certain engineering application value.

Key words

U-tube / sound pressure signal / variational mode decomposition(VMD) / blockage state continuous hidden Markov model(CHMM)

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WU Linfeng1,2, FENG Zao1,2, ZHU Xuefeng1,2. Pipeline blocking state assessment based on optimized VMD and continuous hidden Markov model[J]. Journal of Vibration and Shock, 2020, 39(22): 214-222

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