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首页> 外文期刊>Mechanical systems and signal processing >Comprehensive planet gear diagnostics: Use of transmission error and mesh phasing to distinguish localised fault types and identify faulty gears
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Comprehensive planet gear diagnostics: Use of transmission error and mesh phasing to distinguish localised fault types and identify faulty gears

机译:综合行星齿轮诊断:使用传输错误和网格相位,以区分局部故障类型并识别故障齿轮

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摘要

Planetary gearboxes have a wide range of applications, but due to their complex layout, the diagnostics of planetary gearboxes is more challenging than that of fixed-axis gearboxes. This is especially so for planet gears, as multiple planets mesh simultaneously, share the same rotating speed and are in mesh with both the sun and ring gears. To enable the development of reliable diagnostic and, even more critically, prognostic algorithms, the detection of a fault needs to be complemented with information about its location and the dominant failure mode. In this study, we present a comprehensive procedure to diagnose localised planet gear faults, adding to fault detection the differential diagnosis of cracks and spalls and the identification of the faulty planet.To do this, first the transmission error (TE) of planet cracks and spalls is investigated using a finite element model. This is aimed at providing a thorough understanding of how these two types of faults result in different excitations of the system. A lumped parameter model (LPM) is then used to link the changes in TE to specific vibration patterns, which are identified as characteristic of either tooth cracks or spalls. These observations are then combined with a recently proposed concept that uses mesh phasing to identify which planet gear carries a fault, resulting in a comprehensive framework that can both diagnose the type of fault and determine which planet gear it is on. The methodology is verified using experimental data obtained from a planetary gearbox test rig. (C) 2019 Elsevier Ltd. All rights reserved.
机译:行星齿轮箱具有广泛的应用,但由于它们的复杂布局,行星齿轮箱的诊断比固定轴齿轮箱更具挑战性。这对于行星齿轮特别是如此,因为多个行星同时啮合,共用相同的旋转速度并且与太阳和齿轮齿轮啮合。为了使开发可靠的诊断和甚至更致密地,预后算法,需要与其位置的信息和主力故障模式进行互补的检测。在这项研究中,我们展示了一个综合的程序来诊断局部行星齿轮故障,增加了故障检测裂缝和拼写的差异诊断以及识别故障的星球。这样做,首先是行星裂缝的传输错误(TE)和使用有限元模型进行研究。这旨在彻底了解这两种类型的故障如何导致系统的不同激励。然后使用集总参数模型(LPM)来将TE的变化链接到特定的振动模式,其被识别为牙齿裂缝或壁的特性。然后将这些观察结果与最近提出的概念相结合,该概念使用网眼相位来识别哪个行星齿轮承载过滤器,从而实现全面的框架,可以诊断故障类型并确定它的行星齿轮。使用从行星齿轮箱试验台获得的实验数据验证该方法。 (c)2019 Elsevier Ltd.保留所有权利。

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