Purification of Rotor Center's Orbit Based on Singular Value Decomposition
Abstract: Targeting at
refinement of rotor center’s orbit, a novel purification method was presented
by using singular value decomposition. Firstly, the original vibration signal
was reconstructed in phase space by Hankel matrix; then the attractor track
matrix was decomposed with singular value decomposition. Secondly, aiming at
determine reconstruction order number of singular values, the concept of energy
difference spectrum of singular values was defined; then the reconstruction
order number was determined according to the peak position of the energy
difference spectrum. Finally, the effectiveness of the method was proved by
simulation and successful purification of rotor center’s orbits coming from the
miniature testbed and the turbine generator units in the power plant. And the
results of comparing the performances of the proposed method to the harmonic
window and the ensemble empirical mode decomposition (EEMD) purification method
show the proposed method can retain the original signal characteristic
effectively and eliminate noises as much as possible. It will provide a new way
for rotor center’s orbit purification.
Keywords: singular value
decomposition, energy difference spectrum of singular value, rotor center’s orbit,
purification
Author: Wenbin Zhang, Dewei
Guo, Libin Yu, Jie Min, Yasong Pu, Wei Xiong
Journal Code: jptkomputergg160037
