广东石油化工学院学报2025，Vol.35Issue(6)：92-97,6.DOI:10.26962/j.cnki.1991.2025.0058
基于VMD和TSA的滚动轴承故障诊断方法
Fault Diagnosis Method of Rolling Bearing Based on Variational Modal Decomposition and Time Synchronous Averaging
摘要
Abstract
Aiming at the inefficiency of early fault diagnosis in rolling bearings,which limits comprehensive,accurate,and timely identification of their operating conditions and fault types,this study proposes a fault diagnosis method based on Variational Mode Decomposition(VMD)and Time Synchronous Averaging(TSA).First,the vibration signals of rolling bearings are decomposed using VMD.Then,the phase angle values of each Intrinsic Mode Function(IMF)are calculated as criteria to select phase-similar IMFs for signal reconstruction,thereby restoring the baseline signal and mitigating signal complexity issues such as single-component feature overlap.Subsequently,sliding-window TSA is applied to enhance periodic impact features,followed by Envelope Spectrum Analysis(ESA)to identify bearing operating states and fault types.Experimental results demonstrate that compared with conventional methods,the proposed approach enables earlier detection of minor faults,achieves accurate fault type discrimination,and effectively balances diagnosis efficiency with precision,significantly improving diagnostic performance.关键词
滚动轴承/故障诊断/变分模态分解/时域同步平均/包络谱分析Key words
rolling bearing/fault diagnosis/Variational Mode Decomposition/Time Synchronous Averaging/Envelope Spectrum Analysis分类
机械制造引用本文复制引用
黄权斯,陈莹莹,朱冠华..基于VMD和TSA的滚动轴承故障诊断方法[J].广东石油化工学院学报,2025,35(6):92-97,6.基金项目
国家自然科学基金面上项目(62373115) （62373115）
广东省普通高校重点领域专项(2023ZDZX3015) （2023ZDZX3015）
茂名市科技计划项目(2023SZX039) （2023SZX039）
茂名绿色化工研究院"扬帆计划"重大创新类项目(MMGCIRI-2022YFJH-Z-003) （MMGCIRI-2022YFJH-Z-003）
广东石油化工学院大学生创新训练计划项目(2024A008,25B093) （2024A008,25B093）
广东石油化工学院研究生科技创新计划项目(2024KJCX004) （2024KJCX004）
茂名绿色化工研究院专业学位研究生联合培养基地科技创新计划项目(2024KJCX004) （2024KJCX004）
