摘要
使用动态压力传感器采集了离心泵在不同有效汽蚀余量（NPSHa）下的入口压力脉动信号。对压力信号进行3层8频带的小波包分解。将小波包分解系数作为时间序列并计算出3个混沌特征参数：最大李雅普诺夫指数、关联维数、K2熵；分析并讨论了这些参数的特点和变化规律。结果表明：8个频带中的分解系数，前3个频带数据全都具有典型的混沌特征，3个混沌特征参数从不同角度描述系统的混沌特性，能够把不同NPSHa值所对应的汽蚀工况划分成4个不同的汽蚀阶段。
Abstract
Pressure fluctuation signals of a centrifugal pump inlet under different effective net positive suction head available (NPSHa) conditions were measured using dynamic pressure sensors.The3-layer 8-band wavelet packetdecomposition was done for the pressure signals.Wavelet packet decomposition coefficients were taken as time series to calculate 3 chaotic characteristic parameters including the maximal Lyapunov exponent, correlation dimension and K2 entropy.These parameters’ features and changelaws were analyzed and discussed.Results showed that the first 3 of decomposition coefficients in 8-band all have typical chaotic features; 3 chaotic characteristic parameters can be used to describe the system’s chaotic characteristics from different angles, and divide cavitation conditions corresponding to different NPSHa values into 4 different cavitation stages.
关键词
离心泵 /
汽蚀 /
小波包 /
频带 /
混沌特性
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Key words
centrifugal pump /
cavitation /
wavelet packet /
frequency band /
chaotic characteristics
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梁超，周云龙，杨宁，刘起超.
离心泵入口压力在汽蚀工况下的分频带混沌特性研究[J]. 振动与冲击, 2020, 39(23): 71-77
LIANG Chao, ZHOU Yunlong, YANG Ning, LIU Qichao.
Chaotic characteristics of multi-frequency band of centrifugal pump inlet pressure under cavitation condition[J]. Journal of Vibration and Shock, 2020, 39(23): 71-77
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