Three-dimensional instantaneous orbit map for rotor-bearing system based on a novel multivariate complex variational mode decomposition algorithm. (1st October 2022)

• Record Type: Journal Article
• Authors: Cui, Xiaolong; Huang, Jie; Li, Chaoshun; Zhao, Yujie
• Is Part Of: Mechanical systems and signal processing. Volume 178(2022)
• Publication Date: 2022-10-01
• Subjects: Full spectrum -- Multivariate variational mode decomposition (MVMD) -- Multivariate complex variational mode decomposition (MCVMD) -- Time-full spectrum (time-FS) -- Three-dimensional instantaneous orbit map (3D-IOM) -- Rotor-bearing system; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2022.109211
• Languages: English
• ISSNs: 0888-3270

Abstract

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. Highlights: 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.