液压与气动2025，Vol.49Issue(3)：100-110,11.DOI:10.11832/j.issn.1000-4858.2025.03.012
基于逐次变分模态分解的液压轴向柱塞泵故障特征提取方法
Fault Feature Extraction Method of Hydraulic Axial Piston Pump Based on Successive Variational Mode Decomposition
摘要
Abstract
Once faults occur in the key friction pairs of hydraulic axial piston pumps,modulation phenomenon will be generated in their vibration signals.The fault modulation characteristics in the vibration signals establish a corresponding relationship with specific fault types.And fault characteristics can be extracted from the vibration signals through signal decomposition for fault diagnosis.In this paper,hydraulic axial piston pump is taken as the research object,variational mode decomposition and successive variational mode decomposition a utilized to respectively decompose and reconstruct different simulation signals under noisy conditions.The disparities in decomposition performance between the two algorithms a comprehensively compared.Eventually,the two algorithms a applied to the extraction of fault characteristics from the measured vibration signals of a hydraulic axial piston pump.The results indicate that both algorithms are suitable for extracting fault characteristics of hydraulic axial piston pump.Successive variational mode decomposition accurately reconstructs effective components highly related to the pump faults.And variational mode decomposition extracts effective component amplitudes with less attenuation,making it more sensitive to subtle fault characteristics.关键词
液压轴向柱塞泵/故障诊断/故障特征提取/变分模态分解/逐次变分模态分解Key words
hydraulic axial piston pump/fault diagnosis/fault feature extraction/variational mode decomposition/successive variational mode decomposition分类
机械制造引用本文复制引用
马景涛,汤胜楠,朱勇,周涛,郑智剑..基于逐次变分模态分解的液压轴向柱塞泵故障特征提取方法[J].液压与气动,2025,49(3):100-110,11.基金项目
全国重点实验室基金(GZKF-202316) （GZKF-202316）
宁波市青年科技创新领军人才(2023QL025) （2023QL025）
