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Fault Dynamic Modeling and Characteristic Parameter Simulation of Rolling Bearing with Inner Ring Local Defects
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To further study the fault mechanism and fault features of rolling bearings, a two‐DOF rolling bearing fault dynamic model with inner ring local defects considering the bearing radial clearance and time‐varying displacement excitation is established based on Hertz contact theory. By comparing the simulated fault signal with bearing fault test data in the time domain and frequency domain, the accuracy of the established fault dynamic model is verified. Finally, the change rules of the characteristic parameters of the bearing inner ring fault signal, including effective value, absolute mean value, square root amplitude, peak value, kurtosis factor, pulse factor, peak factor, and shape factor, are simulated by the fault dynamic model. The results highlight that the proposed fault dynamic model is in good agreement with the experimental results. The model can simulate the fault signal characteristic parameters with the change of defect width, external load, and rotating speed effectively. The study in this paper is of engineering application value for bearing condition monitoring and fault diagnosis.
Title: Fault Dynamic Modeling and Characteristic Parameter Simulation of Rolling Bearing with Inner Ring Local Defects
Description:
To further study the fault mechanism and fault features of rolling bearings, a two‐DOF rolling bearing fault dynamic model with inner ring local defects considering the bearing radial clearance and time‐varying displacement excitation is established based on Hertz contact theory.
By comparing the simulated fault signal with bearing fault test data in the time domain and frequency domain, the accuracy of the established fault dynamic model is verified.
Finally, the change rules of the characteristic parameters of the bearing inner ring fault signal, including effective value, absolute mean value, square root amplitude, peak value, kurtosis factor, pulse factor, peak factor, and shape factor, are simulated by the fault dynamic model.
The results highlight that the proposed fault dynamic model is in good agreement with the experimental results.
The model can simulate the fault signal characteristic parameters with the change of defect width, external load, and rotating speed effectively.
The study in this paper is of engineering application value for bearing condition monitoring and fault diagnosis.
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