Abstract
Fault diagnosis of key components of high-speed train is an important issue to guarantee safety operation of high-speed train. In this paper, chaotic method based on reconstructed phase space is introduced for analyzing fault information of high-speed train accounting for nonlinearity, aperiodicity and nonrandomness of vibration signal of high-speed train. Firstly, the optimal delay time and the minimum embedding dimension are determined by mutual information method and Cao's method respectively in order to reconstruct phase space of vibration signals of high-speed train. And then the pseudo-phase trajectories and correlation dimension are analyzed to determine the fault information and failure states of critical components. The analysis shows the vibration signals of high-speed train have chaotic motion characteristics, and their attractors in reconstructed phase space have the similar movement structure. In addition, the areas of pseudo-phase trajectories change gradually with the damping changing of the secondary lateral damper on high-speed train. The results demonstrate that chaotic method is an effective method for analyzing fault information of high-speed train.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call