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基于滑油监测信息的轴承试验磨损故障预警方法研究
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Research on Wear Failure Warning Method Based on Oil Monitoring Information in Bearing Test
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    摘要:

    航空轴承作为典型的摩擦学系统,在高速、高载、高温工况下的磨损失效是其故障预警的重要内容。磨粒作为轴承磨损过程的产物,可以实时反映磨损状态的演变过程,故已经成为滑油监测的重要指标。围绕航空轴承试验中磨粒信息提取方法及其在磨损故障中的预警方法开展研究,通过多参数相关性分析方法获得约减后的参数集,进而通过参数拟合回归及正态分布的验证,建立了基于3σ的磨损故障异常预警判据,最后结合航空轴承疲劳试验的过程数据验证了此方法的有效性。研究工作为航空轴承的磨粒监测方法及磨损故障预警提供了参考。

    Abstract:

    As a typical tribological system, aerospace bearings have high wear, failure under high speed, high load and high temperature conditions. As a product of bearing wear process, abrasive particle can reflect the evolution of wear state in real time, so it has become an important indicator of oil monitoring. The method of extracting abrasive particle information in aerospace bearing test and its early warning method in wear faults were focused on. The multiparameter correlation analysis method was used to obtain the reduced parameter set. Then through parameter fitting regression and verification of normal distribution, the warning criterion of wear failure based on 3σ was established. Finally, the effectiveness of the method was verified by the process data of aerospace bearing fatigue test.The research provides reference for the abrasive particle monitoring method and wear fault warning of aviation bearings.

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姜旭峰,宗营,阮少军.基于滑油监测信息的轴承试验磨损故障预警方法研究[J].机床与液压,2020,48(22):186-191.
JIANG Xufeng, ZONG Ying, RUAN Shaojun. Research on Wear Failure Warning Method Based on Oil Monitoring Information in Bearing Test[J]. Machine Tool & Hydraulics,2020,48(22):186-191

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  • 在线发布日期: 2021-04-22
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