학술논문
A rotating machinery feature enhancement method based on improved symplectic geometry mode component sparsity
Document Type
Article
Author
Source
In Measurement 1 February 2025 241
Subject
Language
ISSN
0263-2241
Abstract
Highlights •An improved symplectic geometry mode component sparsity to enhance fault features.•Parameter optimization based on Particle Swarm Optimization and Kurtosis-to-Eigenvalue.•Improved symplectic geometry mode decomposition based on optimized parameters.•Sparse model solving based on Forward-Backward Splitting and Mean Amplitude Ratio.•The Mean Value of Amplitude (MVA) is used to evaluate envelope spectrum effects.