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The Detection of Shaft Misalignments using Motor Current Signals from a Sensorless Variable Speed Drive

机译:利用无传感器变速驱动器的电机电流信号检测轴不对中

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摘要

Shaft misalignments are common problems in rotating machines which cause additional dynamic and static loads, and vibrations in the system, leading to early damages and energy loss. It has been shown previously that it is possible to use motor current signature analysis to detect and diagnose this fault in motor drives. However, with a variable speed drive (VSD) system, it becomes dif-ficult to detect faults as the drive compensates for the small changes from fault ef-fects and increased noise in the measured data. In this paper, motor current signa-tures including dynamic and static data have been investigated for misalignment diagnosis in a VSD system. The study has made a systemic comparison of differ-ent control parameters between two common operation modes: open loop and sen-sorless control. Results show that fault detection features on the motor current from the sensorless mode can be the same as those of the open loop mode, however, the detection and diagnosis is significantly more difficult. In contrast, because of the additional frictional load, features from static data show results of early detection and diagnosis of different degrees of misalignment is as good as that from conventional vibration methods.
机译:轴未对准是旋转机械中的常见问题,会引起额外的动态和静态负载以及系统中的振动,从而导致早期损坏和能量损失。先前已经表明,可以使用电动机电流信号分析来检测和诊断电动机驱动器中的此故障。但是,使用变速驱动器(VSD)系统时,很难检测到故障,因为驱动器可以补偿由于故障影响引起的微小变化以及测量数据中噪声的增加。在本文中,已经对包括动态和静态数据的电动机电流信号进行了研究,以用于VSD系统中的失准诊断。该研究对两种常见操作模式(开环和无传感器控制)之间的不同控制参数进行了系统比较。结果表明,无传感器模式下电动机电流的故障检测功能可以与开环模式相同,但是,检测和诊断要困难得多。相反,由于附加的摩擦载荷,静态数据的特征表明,早期检测和诊断不同程度的失准的结果与常规振动方法一样好。

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