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为满足滑油系统零部件衰退早期症兆监测要求,采用自制的全流量在线磨粒静电传感器对润滑条件下轴承钢滑动摩擦副开展实时在线磨损状态监测研究.研究了润滑条件下金属磨粒荷电机理和设计了静电监测系统,开展了不同载荷和滑动速度时的磨损实验,对摩擦系数、静电感应信号、静电信号均方根值(RMS)进行相关性分析.研究结果显示:①全流量在线磨粒静电监测方法与摩擦系数均能监测到粘着的发生,具有一致性;②静电监测方法在粘着发生前监测到异常;③在稳定磨损阶段,摩擦系数随载荷的增大而减小,随滑动速度的升高而降低;④在剧烈磨损阶段,静电信号中脉冲尖峰的RMS值随载荷增加时先增加后减小,随滑动速度的升高而减小.
In order to meet the monitoring requirements of early signs of recession of oil system components, a self-made on-line wear particle electrostatic sensor was used to monitor the on-line wear state of bearing steel under the condition of lubrication. Electrostatic mechanism and electrostatic monitoring system were designed and wear tests were carried out under different loads and sliding velocities. Correlation analysis of friction coefficient, electrostatic induction signal and electrostatic signal RMS was carried out. The results showed that: (1) The static electricity monitoring method and the friction coefficient can both detect the occurrence of sticking and have consistency; ② the electrostatic monitoring method detects the abnormality before the sticking occurs; ③ in the steady wear stage, the friction coefficient decreases with the increase of the load, ④ In the severe wear stage, the RMS value of the pulse spike in electrostatic signal increases first and then decreases with increasing load, and decreases with increasing slip velocity.