Dynamics Modeling and Analysis of Local Fault of Rolling Element Bearing
Author(s) -
Lingli Cui,
Xue Chen,
Shujun Chen
Publication year - 2014
Publication title -
advances in mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 40
eISSN - 1687-8140
pISSN - 1687-8132
DOI - 10.1155/2014/262351
Subject(s) - rolling element bearing , nonlinear system , vibration , bearing (navigation) , slipping , fault (geology) , structural engineering , kinematics , stiffness , finite element method , time domain , ball (mathematics) , control theory (sociology) , engineering , degrees of freedom (physics and chemistry) , computer science , acoustics , physics , mathematics , classical mechanics , mathematical analysis , control (management) , quantum mechanics , artificial intelligence , seismology , computer vision , geology
This paper presents a nonlinear vibration model of rolling element bearings with 5 degrees of freedom based on Hertz contact theory and relevant bearing knowledge of kinematics and dynamics. The slipping of ball, oil film stiffness, and the nonlinear time-varying stiffness of the bearing are taken into consideration in the model proposed here. The single-point local fault model of rolling element bearing is introduced into the nonlinear model with 5 degrees of freedom according to the loss of the contact deformation of ball when it rolls into and out of the local fault location. The functions of spall depth corresponding to defects of different shapes are discussed separately in this paper. Then the ode solver in Matlab is adopted to perform a numerical solution on the nonlinear vibration model to simulate the vibration response of the rolling elements bearings with local fault. The simulation signals analysis results show a similar behavior and pattern to that observed in the processed experimental signals of rolling element bearings in both time domain and frequency domain which validated the nonlinear vibration model proposed here to generate typical rolling element bearings local fault signals for possible and effective fault diagnostic algorithms research
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