Simulation of Friction Fault of Lightly Loaded Flywheel Bearing Cage and Its Fault Characteristics

• Published in: Sensors (Basel, Switzerland) Switzerland), 2022-10, Vol.22 (21), p.8346
• Main Authors: Chen, Changrui, Deng, Zhongmin, Wang, Hong, He, Tian
• Format: Article
• Language: English
• Subjects: Algorithms; Back propagation; bearing fault; Bearings; Cages; Crack initiation; Dynamic models; Fault diagnosis; fault feature; flywheel; Flywheels; Friction; friction fault; Identification methods; Load; load region factor; Lubricants & lubrication; Neural networks; Periodic variations; Propagation; Simulation; Stiffness; Vibration; Vibration analysis; Vibration response
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s22218346

Because of the operating environment and load, the main fault form of flywheel bearing is the friction fault between the cage and the rolling elements, which often lead to an increase in the friction torque of the bearing and even to the failure of the flywheel. However, due to the complex mechanism of the friction fault, the characteristic frequencies often used to indicate cage failure are not obvious, which makes it difficult to monitor and quantitatively judge such faults. Therefore, this paper studies the mechanism of the friction fault of the flywheel bearing cage and establishes its fault feature identification method. Firstly, the basic dynamic model of the bearing is established in this paper, and the friction between the cage and the rolling elements is simulated by the variable stiffness. The influence law of the bearing vibration response reveals the relationship between the periodic fluctuation of cage-rolling element friction failure and the bearing load. After analyzing the envelope spectrum of the vibration data, it was found that when a friction fault occurred between the cage and the rolling element, the rotation frequency component of the cage modulated the rotational frequency component of the rolling element, that is, the side frequency components appeared on both sides of the characteristic frequency of the rolling element (with the characteristic frequency of the cage as the interval). In addition, the modulation frequency components of the cage and rolling element changed with the severity of the fault. Then, a modulation sideband ratio method based on envelope spectrum was proposed to qualitatively diagnose the severity of the cage-rolling element friction faults. Finally, the effectiveness of the presented method was verified by experiments.