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Improving Gear Fault Detection by Reducing Tachometer Jitter

机译:通过减少转速计抖动来改善齿轮故障检测

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Much research has been published on gear fault analysis techniques, almost all based on the time synchronous average (TSA). These include and are not limited to: residual analysis, energy operator, energy ratio, amplitude modulation, frequency modulation, sideband index, zero-order figure of merit, etc. Because the TSA is based on tachometer zero cross times, the performance of these analyses is dependent on the quality of the tachometer data. The tachometer signal always has jitter, due to electrical noise, magnetic noise, or manufacturing spacing error of the tachometer target (e.g. gear tooth spacing). By implementing a novel zero phase filter to reduce tachometer jitter, large improvements in the fault detection were observed. For a known gear fault, the separability, related to fault detection, increased from 10 to 25%.
机译:关于齿轮故障分析技术的许多研究已经发表,几乎全部基于时间同步平均(TSA)。这些包括但不限于:残差分析,能量算子,能量比,幅度调制,频率调制,边带指数,零阶品质因数等。由于TSA基于转速计零交叉时间,因此这些性能分析取决于转速表数据的质量。由于电气噪声,磁噪声或转速表目标的制造间距误差(例如齿轮齿间距),转速表信号始终具有抖动。通过实现一种新型的零相位滤波器来减少转速计抖动,可以发现故障检测方面的巨大改进。对于已知的齿轮故障,与故障检测相关的可分离性从10%增加到25%。

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