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Gear Fault Detection Effectiveness as Applied to Tooth Surface Pitting Fatigue Damage

机译:齿轮故障检测有效性,应用于牙齿表面点蚀疲劳损伤

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摘要

A study was performed to evaluate fault detection effectiveness as applied to gear-tooth-pitting-fatigue damage. Vibration and oil-debris monitoring (ODM) data were gathered from 24 sets of spur pinion and face gears run during a previous endurance evaluation study. Three common condition indicators (RMS, FM4, and NA4 [Ed. 's note: See Appendix A - Definitions]) were deduced from the time-averaged vibration data and used with the ODM to evaluate their performance for gear fault detection. The NA4 parameter showed to be a very good condition indicator for the detection of gear tooth surface pitting failures. The FM4 and RMS parameters performed average to below average in detection of gear tooth surface pitting failures. The ODM sensor was successful in detecting a significant amount of debris from all the gear tooth pitting fatigue failures. Excluding outliers, the average cumulative mass at the end of a test was 40 mg.
机译:进行了一项研究,以评估故障检测方法对齿轮齿点蚀疲劳损伤的有效性。在先前的耐久性评估研究中,从运行的24套正齿轮和端面齿轮收集了振动和油屑监测(ODM)数据。从时间平均振动数据中得出了三个常见状态指标(RMS,FM4和NA4 [编者注:请参阅附录A-定义]),并与ODM一起使用以评估其在齿轮故障检测中的性能。对于检测齿轮齿表面点蚀故障,NA4参数显示为非常好的状态指示器。 FM4和RMS参数在检测齿轮齿表面点蚀故障时的平均值达到平均值以下。 ODM传感器成功地检测出所有齿轮齿点蚀疲劳故障中的大量碎屑。除异常值外,测试结束时的平均累积质量为40 mg。

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