现代科学仪器Issue(3)：123-127,5.
基于VMD的机械故障欠定盲源分离
Underdetermined Blind Source Separation of Machine Faults Based on VMD
张国云 1孔令号 2姚宏坤 1潘洪涛1
作者信息
- 1. 国网冀北电力有限公司技能培训中心 河北 保定 071051
- 2. 国网河北省电力公司保定供电分公司 河北 保定 071000
- 折叠
摘要
Abstract
For the mechanical fault diagnosis, a blind source separation method based on variational mode decomposition (VMD) was proposed to solve the underdetermined blind source separation problem, which means the number of the observation signals is less than that of the source signals. First, VMD method was used to decompose the observation signal, then the new observation signals composed of the BIMF components and the original observation signals were constructed, and the underdetermined blind source separation was transformed into a definite problem. Finally, the blind source separation (BSS) method was used to process the new observation signals. The simulation signals were used to compare with another underdetermined blind source separation method that based on empirical mode decomposition (EMD). The actual signals were used to verify the validity and feasibility of the proposed method. The method could provide reference and experience for solving the underdetermined blind source separation problem.关键词
变分模态分解/盲源分离/欠定/故障诊断Key words
Variational Mode Decomposition (VMD)/Blind Source Separation/Underdetermined/Fault Diagnosis分类
机械制造引用本文复制引用
张国云,孔令号,姚宏坤,潘洪涛..基于VMD的机械故障欠定盲源分离[J].现代科学仪器,2017,(3):123-127,5.
