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Signal Analysis Techniques to Identify Axle Bearing Defects

机译:信号分析技术识别轴承缺陷的信号

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Vehicle NVH (Noise Vibration & Harshness) is of continued concern to customers in this increasingly competitive market and driveline NVH performance is a key factor in overall vehicle quality. A typical way to increase this quality is the use of axle end of line test stands that utilize NVH signal analysis methods to offer pass/fail criteria. In the manufacturing environment there are high costs associated with axle assemblies that are rejected due to the amount of time for NVH analysis to determine root cause for the failure. Of more interest to both product development and manufacturing activities is the ability to understand the root cause of the failures from the axle end of line test stand. This information can improve the manufacturing process by eliminating errors, streamlining re-build activities, aiding in product design improvements, and in turn reducing cost. This paper describes the activities used to identify specific bearing defects for rear axle application through signal analysis of end of line test stand data. Measurements of both nominal and intentionally mis-built (head, tail, & differential) bearings, with known defect characteristics, were used to develop the analysis techniques. Various bearing fault frequencies and their harmonics of the NVH signatures were used to identify the specific failure mode for each of the mis-built (head, tail, & differential) bearings, which included rolling element pass defects, and cage spin defects.
机译:车辆NVH(噪音振动和严格)对客户在这一越来越竞争的市场中持续关注,传动系统的NVH性能是整体车质的关键因素。提高这种质量的典型方法是使用利用NVH信号分析方法提供通过/失败标准的线路测试台的轴端。在制造环境中,由于NVH分析的时间量来确定导致故障的根本原因,存在与轴组件相关的高成本。产品开发和制造业活动的更多兴趣是能够理解线路测试台的轴端的故障的根本原因。这些信息可以通过消除错误,简化重新构建活动,帮助加强产品设计改进,并反过来降低成本,提高制造过程。本文介绍了用于通过线路测试站数据结束的信号分析来识别后轴应用的特定轴承缺陷的活动。使用具有已知缺陷特性的标称和故意误工(头部,尾部和差分)轴承的测量来开发分析技术。使用各种轴承故障频率及其对NVH签名的谐波来识别每个MIS构建(头部,尾和差速器)轴承的特定故障模式,包括滚动元件通过缺陷和笼式栓塞缺陷。

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