基于IESMD-功率谱熵-能量熵增量的泵站厂房振源辨识研究

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振动与冲击 ›› 2025, Vol. 44 ›› Issue (9) : 45-56.

振动理论与交叉研究

基于IESMD-功率谱熵-能量熵增量的泵站厂房振源辨识研究

江琦1,王建康2,张建伟*1,刘喜珠3,赵瑜1,2

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Vibration source recognition for pumping station plant house based on IESMD-PSE-EEI

JIANG Qi1, WANG Jiankang2, ZHANG Jianwei*1, LIU Xizhu3, ZHAO Yu1,2

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摘要

针对多源激励和强背景噪声干扰的泵站厂房结构难以准确辨识振源的难题，提出一种改进的极点对称模态分解(Improved Extreme-point Symmetric Mode Decomposition，IESMD)-功率谱熵-能量熵增量联合振源辨识方法。首先对小波阈值降噪预处理信号进行IESMD自适应分离，引入噪声频谱理论确定功率谱熵和能量熵增量阈值，定量筛选本征模态分量（Intrinsic Mode Function，IMF）实现振源精准辨识。对打渔张泵站厂房5个典型部位的实测振动数据进行振源辨识，引入振动能量计算各分频能量占比。结果表明：该方法能够将多源信号分解为多个有效的调频调幅分量，运行期动静干涉(Rotor-stator interaction，RSI)引起的水力激振是厂房振动的主振源，其振动主频为33.32Hz，在泵座、出口弯管和电机位置能量占比最大高达84.54%、98.53%和97.15%，是引起泵站厂房振动的主要原因。

Abstract

To address the challenge of accurately identifying vibration sources in pumping station buildings with multiple excitation sources and strong background noise interference, an improved Extreme-point Symmetric Mode Decomposition (IESMD)-power spectral entropy-energy entropy increment joint vibration source identification method was proposed. First, IESMD adaptive separation is carried out on the wavelet threshold noise reduction preprocessed signal, noise spectrum theory is introduced to determine the power spectrum entropy and energy entropy increment thresholds, and the Intrinsic Mode Function (IMF) is quantitatively screened to achieve accurate identification of vibration sources. The vibration source was identified based on the measured vibration data of five typical parts of the Dayuzhang Pumping Station powerhouse, and the vibration energy was introduced to calculate the energy proportion of each frequency division. The results showed that: This method can decompose multi-source signals into multiple effective frequency-modulated and amplitude-modulated components. The hydraulic excitation caused by Rotor-stator interaction (RSI) during operation is the dominant vibration source of the plant vibration. Its main frequency of vibration is 33.32Hz. The energy proportion at the pump seat, outlet bend and motor positions is as high as 84.54%, 98.53% and 97.15%, which is the main reason for the vibration of the pumping station plant.

导出引用

江琦1, 王建康2, 张建伟1, 刘喜珠3, 赵瑜1, 2. 基于IESMD-功率谱熵-能量熵增量的泵站厂房振源辨识研究[J]. 振动与冲击, 2025, 44(9): 45-56

JIANG Qi1, WANG Jiankang2, ZHANG Jianwei1, LIU Xizhu3, ZHAO Yu1, 2. Vibration source recognition for pumping station plant house based on IESMD-PSE-EEI[J]. Journal of Vibration and Shock, 2025, 44(9): 45-56

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