机械科学与技术2024，Vol.43Issue(6)：943-949,7.DOI:10.13433/j.cnki.1003-8728.20230003
经验模态分解与阶次跟踪分析对机器人用精密减速器故障诊断
Empirical Mode Decomposition and Order Tracking Analysis of Fault Diagnosis of Robot with Precision Reducer
蔺梦雄 1张文松 1曹洪鑫 1张向慧 1姚良博 2张敬彩2
作者信息
- 1. 北方工业大学机械与材料工程学院,北京 100144
- 2. 中机生产力促进中心有限公司,北京 100044
- 折叠
摘要
Abstract
Because the fault features of a planetary cycloid pinwheel reducer are difficult to extract in the swing fatigue experiment,this paper proposes a method that combines empirical mode decomposition and order tracking analysis to conduct the fault diagnosis of the reducer.Through performing equiangular domain resampling,empirical mode decomposition,calculating the kurtosis value of the intrinsic mode function,selecting the intrinsic mode component for reconstruction and the fast Fourier transform of collected time domain signals,the order map is verified.The results show that the method can accurately extract the inherent modal components that contain the information on faults and identify the fault features of the planetary cycloid pinwheel reducer in the non-stationary state.关键词
行星摆线针轮减速器/经验模态分解/阶次分析/故障诊断Key words
planetary cycloid pinwheel reducer/empirical mode decomposition/order analysis/fault diagnosis分类
机械制造引用本文复制引用
蔺梦雄,张文松,曹洪鑫,张向慧,姚良博,张敬彩..经验模态分解与阶次跟踪分析对机器人用精密减速器故障诊断[J].机械科学与技术,2024,43(6):943-949,7.
