基于局部特征尺度分解谱熵和VPMCD的液压泵退化状态识别

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振动与冲击 ›› 2016, Vol. 35 ›› Issue (12) : 188-195.

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王余奎, 李洪儒, 魏晓斌，许葆华

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Degradation state identification of hydraulic pump based on LCD decomposition spectrum entropy and VPMCD

WANG Yukui, LI Hongru, WEI Xiaobin, XU Baohua

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摘要

针对液压泵故障信号的非平稳特性以及其退化状态难以识别的问题，结合局部特征尺度分解与信息熵理论，提出了局部特征尺度分解谱熵的退化特征提取方法，并将基于变量预测模型的模式识别(Variable Predictive Model based Class Discriminate, VPMCD)方法引入到液压泵的退化状态识别。对不同程度故障的液压泵振动信号进行局部特征尺度分解，从得到的内禀尺度分量中提取振动信号的复杂度和随机性度量指标能谱熵、奇异谱熵和包络谱熵，以其作为液压泵的退化特征向量，通过建立VPMCD退化状态识别模型实现液压泵的退化状态识别。仿真信号分析结果验证了本文提出的局部特征尺度分解谱熵具有较好的表征液压泵故障退化状态的能力。通过对实测液压泵松靴和滑靴磨损两种故障模式下的退化状态振动信号进行分析验证了提出方法的有效性。

关键词：液压泵，退化状态识别，局部特征尺度分解，谱熵，VPMCD

Abstract

Aiming at the problem that the degradation state of hydraulic pump is difficult to identification and also the non-stationary characteristic which result in the difficult increase of degradation feature extraction. The local characteristic scale decomposition spectrum entropy as a novel degradation feature extraction method is proposed based on the combination of local characteristic scale decomposition arithmetic (LCD) and information entropy theory. And the variable predictive model based class discriminate method is adopted as innovative degradation state identification method. The local characteristic scale decomposition is performed to the hydraulic pump vibration signal in different fault levels. The power spectrum entropy, singular spectrum entropy and the envelope spectrum entropy are extracted from the obtained intrinsic scale components, and they are used as the degradation features of pump. Then the degradation state identification model are founded based on the VPMCD method and the degradation features, the degradation state of pump can be identified. The analysis result of simulation signal verified the prefer performance of proposed local characteristic scale decomposition spectrum entropy to reflect the degradation state of pump. The analysis result of practical vibration signal of pump with different fault levels with loose boot fault and piston shoe wear fault demonstrate the availability of the proposed method.

关键词

液压泵

/ 退化状态识别 / 局部特征尺度分解 / 谱熵 / VPMCD

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王余奎, 李洪儒, 魏晓斌，许葆华. 基于局部特征尺度分解谱熵和VPMCD的液压泵退化状态识别[J]. 振动与冲击, 2016, 35(12): 188-195

WANG Yukui, LI Hongru, WEI Xiaobin, XU Baohua. Degradation state identification of hydraulic pump based on LCD decomposition spectrum entropy and VPMCD[J]. Journal of Vibration and Shock, 2016, 35(12): 188-195

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