Simulation Research on Wavelet Time-Frequency
Analysis Algorithm in Identification of Rotor Crack
Zou Jian, Chen Jin, Pu Yapeng, Zhong Ping
(State Key Lab. of Vibration, Shock & Noise, Shanghai Jiaotong University, Shanghai 200030)
Abstract: Harmonic resonance is a key factor to identify the rotor crack. But due to nonª²linearity and nonª²stationary properties of the crack
that make the traditional signal processing methods unable to acquire the harmonic resonance of the system, the rotor crack cannot be identified accurately. Wave
let time-frequency analysis algorithm is a robust tool for processing of the non-linear and
non-stationary signal, so it may be introduced into the simulation
research on identification of the crack. Based on the modeled dynamic equation of the cracked rotor, the feasibility of using wavelet analysis algorithm to identify the crack is deduced. The simulation research on the identification of the
crack in imbalance is successfully carried out, which expresses the validity of
the method in identification of the rotor crack.
Keywords: Harmonic resonance, rotor crack, wavelet timeª²frequency analysis.