Analysis of Turbo-Shaft Engine Rotor Vibration Signal Based on VMD
Aiming at the analysis of the rotor vibration characteristics of turbo-shaft engine,a genetic algorithm(GA)optimized variational mode decomposition(VMD)is proposed.GA is used to optimize the number of VMD components and the penalty fac-tor by minimizing the information entropy of VMD components signal.And a simulation case is used to verify the effectiveness of method.The vibration signal of the intake casing and turbine casing is simulated based on frequency-doubled envelope curve and rotor speed curve of the turbo-shaft engine rotor vibration signal.The intake casing and turbine casing vibration signal is decom-posed by optimized VMD,which is full period synchronous re-sampling and then spectrum analysis is performed.Combine the wa-terfall chart to compare and analyze the original signal and the VMD decomposition signal,and analyze the spectrum at the 100th second of the test run.The results show that the VMD optimized by the genetic algorithm can effectively analyze the rotor vi-bration signal,and its component signal can identify the main frequency multiplication components of each rotor.