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首页> 外文期刊>Mechanical systems and signal processing >Monitoring tooth profile faults in epicyclic gearboxes using synchronously averaged motor currents: Mathematical modeling and experimental validation
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Monitoring tooth profile faults in epicyclic gearboxes using synchronously averaged motor currents: Mathematical modeling and experimental validation

机译：使用同步平均电动机电流监测周转齿轮箱中的齿形故障：数学建模和实验验证

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摘要

Time-varying transmission paths and inaccessibility can increase the difficulty in both acquiring and processing vibration signals for the purpose of monitoring epicyclic gearboxes. Recent work has shown that the synchronous signal averaging approach may be applied to measured motor currents in order to diagnose tooth faults in parallel shaft gearboxes. In this paper we further develop the approach, so that it may also be applied to monitor tooth faults in epicyclic gearboxes. A low-degree-of-freedom model of an epicyclic gearbox which incorporates the possibility of simulating tooth faults, as well as any subsequent tooth contact loss due to these faults, is introduced. By combining this model with a simple space-phasor model of an induction motor it is possible to show that, in theory, tooth faults in epicyclic gearboxes may be identified from motor currents. Applying the synchronous averaging approach to experimentally recorded motor currents and angular displacements recorded from a shaft mounted encoder, validate this finding. Comparison between experiments and theory highlight the influence of operating conditions, backlash and shaft couplings on the transient response excited in the currents by the tooth fault. The results obtained suggest that the method may be a viable alternative or complement to more traditional methods for monitoring gearboxes. However, general observations also indicate that further investigations into the sensitivity and robustness of the method would be beneficial.
机译：时变的传输路径和难以接近会增加用于监测行星齿轮箱的振动信号的获取和处理的难度。最近的工作表明，同步信号平均方法可以应用于所测量的电动机电流，以便诊断平行轴齿轮箱中的齿轮故障。在本文中，我们将进一步开发该方法，以便也可将其应用于监视行星齿轮箱中的齿轮故障。引入了周转齿轮箱的低自由度模型，该模型结合了模拟齿故障以及由于这些故障而导致的任何后续齿接触损失的可能性。通过将此模型与感应电动机的简单空间相量模型相结合，有可能表明，从理论上讲，可从电动机电流中识别出行星齿轮箱中的齿轮故障。将同步平均方法应用于从轴上安装的编码器记录的实验记录的电动机电流和角位移，可以验证这一发现。实验和理论之间的比较突出了工作条件，齿隙和联轴器对齿故障在电流中激发的瞬态响应的影响。获得的结果表明，该方法可能是可行的替代方法，或者是对更传统的齿轮箱监测方法的补充。但是，一般性观察还表明，对该方法的灵敏度和耐用性进行进一步研究将是有益的。

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