Abstract:
The wheelset bearing play an important role in train running safety. In this paper, we introduce the nonlinear dynamical method to study the wheelset bearing vibration signal. Based on the comparative studies of the phase graph and the correlation dimension of the vibration signals under normal condition, outer peeling fault condition and rolling element electric erosion fault condition, the following conclusions are shown: (1) The dynamical behavior of the wheelset bearing with fault is complicated than of the normal condition. (2) The correlation dimension of wheelset bearing is different under normal, outer peeling fault and rolling element electric erosion fault conditions. The correlation dimension can be used in wheelset bearing health monitoring. Therefore, it is quite reasonable to fault diagnosis of wheelset bearing to use nonlinear dynamical method.
Page(s):
252-256
DOI:
DOI not available
Published:
Journal: Journal of Theoretical and Applied Information Technology, Volume: 45, Issue: 1, Year: 2012