PENG Xiuyan, LIU Yuanxun, ZHENG Qian. Multi-dimensional intrinsic time scale decomposition algorithm[J]. 2019, (5): 114-116+124. DOI: 10.13873/J.1000-9787(2019)05-0114-03.
多维固有时间尺度分解算法
摘要
针对控制回路、机械系统实际运行数据复杂多变、非稳定、非线性、信号耦合性强等问题
提出了一种新的多维信号分解方法
多维固有时间尺度分解(MITD)。给出了算法步骤;对所提出的MITD进行一定程度优化
以达到更好的分解效果;对所提出算法进行仿真分析和工业实例分析
表明了MITD对多维数据分解的优越性。
Abstract
Aiming at the problem of actual operation data of control loop and the mechanical system is complex
variable
unstable
non-linear
strong signal coupling and other issues
a new multi-dimensional signal decomposition method is proposed
called multi-dimensional intrinsic time scale decomposition( MITD). Algorithm steps are given
MITD is optimized to achieve better decomposition effect. Simulation analysis and actual industrial analysis show the superiority of MITD to multi-dimensional data decomposition.