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中文摘要：
采用自制静电传感器进行润滑条件下轴承钢点接触滑动摩擦胶合故障在线监测试验研究.首先分析了磨损过程静电产生机理和静电感应原理,在此基础上设计研制了磨损区域静电传感器并进行轴承钢胶合故障试验,研究了磨损区域静电信号去噪方法,分析了载荷和转速对摩擦系数和静电信号的影响.研究结果表明：奇异值差分谱理论适用于静电信号去噪,取得了较好的效果;静电信号与摩擦系数同时监测到胶合的发生,具有一致性,并且静电在线监测技术能够在胶合故障发生前监测到异常,为视情维修提供支持;静电信号反映了4个阶段（磨合磨损,稳定磨损,早期胶合以及胶合阶段）;在稳定磨损阶段,摩擦系数随载荷的增大而降低,随转速的升高而降低,静电信号均方根值随载荷的变化很小,随转速的升高而增大.
英文摘要：
Electrostatic sensor is used to investigate scuffing experiments of oil lubricated sliding bearing steel with point contacts. The charging mechanism and electrostatic induction principle are analyzed. Then the scuffing experiments are carried out, and the denoising method of the electrostatic signals is studied. Finally the influence of the load and speed on the friction coefficient and the electrostatic signals are discussed. The results show that the difference spectrum theory of singular value is suitable for the electrostatic signals denosing. The electrostatic technology （EST） and friction coefficient could be used to detect the occurrence of scuffing. In addition, EST could detect the precursor signals before the occurrence of scuffing, and this is a good support for the condition based maintenance. The amplitude and root mean square （RMS） of electrostatic signal embody four stages （early wear, stahlel wear, early scuffing and scuffing）. In the stable wear stage, the friction coefficient increases as the load and speed decrease. RMS is not sensitive to the varying load and it increases with increasing speed.
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