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Planetary Gear Fault Detection Based on Mechanical Torque and Stator Current Signatures of a Wound Rotor Induction Generator

机译:绕线转子感应发电机基于机械转矩和定子电流信号的行星齿轮故障检测

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摘要

In this paper, an approach for tooth localized fault detection in the sun gear of a planetary gear, using the measured mechanical torque and the stator current of a wound rotor induction generator (WRIG), is proposed. A theoretical background is developed to demonstrate that the faulty sun gear produces periodic fault signatures in the mechanical torque and consequently fault-related frequencies in the stator current of the WRIG. The employed technique needs knowledge of mechanical system torsional natural frequencies, which aid in identifying the most sensitive fault characteristic harmonics in both mechanical torque and stator current spectra. It is illustrated by simulation and experimental results that the amplitude of these harmonics can be used as a fault index for diagnosis of tooth localized defect in planetary gears. A test rig based on a 5.5 kW WRIG, shaft connected to the sun gear of a planetary gear through a high-speed shaft and couplings, was utilized for validation of the proposed technique.
机译:本文提出了一种利用测得的机械转矩和绕线转子感应发电机(WRIG)的定子电流在行星齿轮太阳轮中进行齿定位故障检测的方法。开发了一个理论背景来证明有故障的太阳齿轮会在机械扭矩中产生周期性的故障信号,从而在WRIG的定子电流中产生与故障相关的频率。所采用的技术需要了解机械系统的扭转固有频率,这有助于识别机械转矩和定子电流谱中最敏感的故障特征谐波。通过仿真和实验结果表明,这些谐波的幅度可以用作诊断行星齿轮中齿局部缺陷的故障指标。一个基于5.5 kW WRIG的试验台架通过高速轴和联轴器连接到行星齿轮的太阳轮,用于验证所提出的技术。

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