基于自组织映射的轴向柱塞泵性能退化分析

Xiaokai Huang, Zemin Yao, Shouqing Huang, Dazhi Liu
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引用次数: 0

摘要

轴向柱塞泵是液压系统的关键部件,其性能实时退化分析在工程实践中越来越受到重视。提出了一种基于自组织映射(SOM)的退化轨迹方法,用于轴向柱塞泵性能退化分析。首先,采用自适应Morlet小波滤波器对轴向柱塞泵的振动信号进行处理,并将滤波后信号的时域度量作为特征向量,反映泵的性能退化程度;然后利用典型状态的数据对SOM进行训练,用SOM输出层上的轨迹表示退化程度的实时性。最后,对轴向柱塞泵进行了性能退化实验,实验结果表明,该方法能够有效地描述轴向柱塞泵的性能退化过程。
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Performance Degradation Analysis of Axial Piston Pumps Based on Self-Organizing Map
Axial piston pumps are key components in hydraulic systems, and their real-time performance degradation analysis has received more and more attention in engineering practice. This paper proposes a degradation trajectory method based on self-organizing map (SOM), which is used to analyze the performance degradation of axial piston pumps. Firstly, a selfadaptive Morlet wavelet filter is applied to process the vibration signals of axial piston pumps, and time-domain metrics of filtered signal is used as eigenvectors which can reflect the performance degradation degree. Then data from typical status are used to train SOM, and trajectory on the output layer of SOM is used to represent the real-time performance of degradation degree. Lastly, the performance degradation experiment of axial piston pumps was carried out and the results showed that the proposed method can describe performance degradation process of axial piston pumps effectively.
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