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Amplitude of probability density function (APDF) of vibration response as a robust tool for gearbox diagnosis

机译:振动响应的概率密度函数(APDF)的振幅作为变速箱诊断的可靠工具

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摘要

A ‘Go' or ‘No Go' assessment is a safety requirement for quick and robust estimation of the condition of gearboxes used in helicopters and other critical machines. A range of vibration-based condition indicators (CIs) has been developed to meet this requirement. CIs are compared automatically with pre-set threshold values representing a healthy system, so that the health of the gearbox can be assessed and diagnosis made where necessary. The use of kurtosis of the residual signal of the measured vibration data, computed as part of the ‘FM4' method, is widespread, because it is accepted as a good and reliable indicator. However, it has been observed in some cases that FM4 may not show a continually increasing trend with the propagation of a fault. This behaviour may lead to improper assessment of the severity of the fault. Hence, a new CI, based on the deviation in the normal probability density function (PDF) of the measured vibration data, is suggested which demonstrates an increasing trend that is more robustly and monotonically correlated with the fault propagation.
机译:“合格”或“不合格”评估是对直升机和其他关键机器中使用的变速箱状况进行快速,可靠评估的安全要求。为了满足这一要求,已经开发了一系列基于振动的状态指示器(CI)。 CI会自动与代表健康系统的预设阈值进行比较,以便可以评估变速箱的健康状况并在必要时进行诊断。作为“ FM4”方法的一部分计算出的振动数据残余信号的峰度峰度已广泛使用,因为它被认为是一种良好而可靠的指标。但是,已经观察到在某些情况下FM4可能不会随着故障的传播而显示出持续增加的趋势。此行为可能导致错误严重程度的评估不正确。因此,建议基于测量振动数据的法线概率密度函数(PDF)的偏差的新CI,该CI表现出与故障传播更加稳健和单调相关的增长趋势。

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