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Three-dimensional instantaneous orbit map for rotor-bearing system based on a novel multivariate complex variational mode decomposition algorithm.

Authors :
Cui, Xiaolong
Huang, Jie
Li, Chaoshun
Zhao, Yujie
Source :
Mechanical Systems & Signal Processing. Oct2022, Vol. 178, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

Full spectrum and holospectrum are homogeneous information fusion technology developed for the fault diagnosis of rotating machinery, which is extensively exploited in the analysis of the orbits of rotor-bearing systems. However, they are not adapted for non-stationary signals, nor can they be used for fusion analysis of vibrations of multiple bearing sections. By drawing inspiration from the multivariate variational mode decomposition (MVMD) and the complex-valued signal decomposition, we propose a method called multivariate complex variational mode decomposition (MCVMD). It can simultaneously extract the forward and backward components of multiple bearing sections and realize non-stationary complex signal decomposition of multiple bearing sections of the rotor. To achieve the visualization goal of condition monitoring, we propose the three-dimensional instantaneous orbit map (3D-IOM). It enables more features of shaft vibration of a rotor system to be displayed and offers a new way for the fusion analysis of vibration signals of multiple bearing sections of rotating machinery. Furthermore, making the most of the joint information, we also provide a high-resolution time-full spectrum (Time-FS) to display the forward and backward frequency components of multiple bearing sections. The effectiveness of the proposed method through both the simulated experiment and the real-life complex-valued signals is demonstrated in this paper. • A new multivariate complex variational mode decomposition method (MCVMD) is proposed. • 3D instantaneous orbit map is raised to visualize the instantaneous vibration state. • Time-FS, to integrate the frequency components into a TF plane, is devised. • The effectiveness is verified by the simulation test and real-world data. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08883270
Volume :
178
Database :
Academic Search Index
Journal :
Mechanical Systems & Signal Processing
Publication Type :
Academic Journal
Accession number :
157221473
Full Text :
https://doi.org/10.1016/j.ymssp.2022.109211