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A new feature for monitoring the condition of gearboxes in non-stationary operating conditions

机译:在非平稳运行条件下监视变速箱状态的新功能

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The paper introduces a new diagnostic feature, which can be used for monitoring the condition of planetary gearboxes in time-variable operating conditions. The novel approach (originally presented in W. Bartelmus, R. Zimroz, Vibration condition monitoring of planetary gearbox under varying external load, Mechanical Systems and Signal Processing 23 (2009) 246-257) exploits the fact that a planetary gearbox in bad condition is more susceptible (yielding) to load than the gearbox in good condition. The diagnostic method based on the new diagnostic feature is very simple: one needs to capture signals for different external load values and calculate a simple spectrum based feature versus operating conditions indicator (current or instantaneous rotation speed). In a certain range of operating conditions the diagnostic relation (i.e. the dependence between the spectral features and the operating conditions indicator) is linear. However, since a gearbox in bad condition is more susceptible to load than the gearbox in good condition the relation will be different for the two cases. Using a simple regression equation one can calculate the slope of the straight line, which expresses the new diagnostic feature. The method is very quick, technically simple, robust and intuitive. This approach has been used for diagnosing the very complex high-power planetary gearbox used in bucket wheel excavators.
机译:本文介绍了一种新的诊断功能,可用于在随时间变化的工况下监视行星齿轮箱的状态。这种新颖的方法(最初在W. Bartelmus,R. Zimroz中提出,在变化的外部负载下进行行星齿轮箱的振动状态监测,《机械系统和信号处理》 23(2009)246-257)利用了以下事实:比处于良好状态的变速箱更容易承受(屈服)载荷。基于新诊断功能的诊断方法非常简单:需要捕获不同外部负载值的信号,并根据与运行状况指示符(当前或瞬时转速)计算一个简单的基于频谱的特征。在一定范围的工作条件下,诊断关系(即光谱特征与工作条件指示器之间的依赖关系)是线性的。但是,由于处于不良状态的变速箱比处于良好状态的变速箱更容易受到负载,因此两种情况的关系将有所不同。使用一个简单的回归方程,可以计算直线的斜率,从而表达出新的诊断功能。该方法非常快速,技术上简单,健壮且直观。这种方法已用于诊断斗轮挖掘机中使用的非常复杂的大功率行星齿轮箱。

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