首页> 外文会议>International Seminar on Application for Technology of Information and Communication >A comparative study of EMD, EWT and VMD for detecting the oscillation in control loop
【24h】

A comparative study of EMD, EWT and VMD for detecting the oscillation in control loop

机译:EMD,EWT和VMD检测控制环振荡的比较研究

获取原文

摘要

Adaptive time series decompositions can be used as a basis for oscillation detection in control loops at chemical plant. In general, the decomposition extracts a process time series into different intrinsic mode functions (IMFs). Later, IMFs are characterized to detect the oscillation. This paper presents a comparative study of three well-known adaptive time series decomposition, i.e. empirical mode decomposition (EMD), empirical wavelet transform (EWT) and variational mode decomposition (VMD). The study compares significancy, regularity and sparseness of each method with different process time series from chemical plant. The time series represents oscillation due to process disturbance, mistuned controller, sticking valve and faulty sensor. The comparison shows that EWT outperforms in consistent detection results over EMD and VMD.
机译:自适应时间序列分解可作为化学植物控制环中的振动检测的基础。通常,分解提取进程时间序列成不同的内在模式函数(IMF)。后来,IMF的特征是检测振荡。本文介绍了三种众所周知的自适应时间序列分解的比较研究,即经验模式分解(EMD),经验小波变换(EWT)和变分模式分解(VMD)。该研究比较了来自化工厂的不同处理时间序列的每种方法的显着性,规律性和稀疏性。时间序列代表振荡,由于过程干扰,雾化控制器,粘附阀和故障传感器。比较表明,EWT在EMD和VMD上的一致检测结果中表现出。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号