高阶光谱感应电机状态监测。2变频操作,自动诊断

N. Arthur, J. Penman, A. McLean, A. Parsons
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引用次数: 9

摘要

本文是研究高阶光谱(HOS)作为感应电机状态监测工具的两部分论文中的第二部分。第一部分研究了该技术的基本方面,并研究了用正弦电源对感应电机进行故障检测。第二部分继续扩展前面介绍的技术,包括变速感应电机运行的状态监测。在第一部分调查的故障条件是重新检查变速,逆变器馈电感应电机。结果表明,前面介绍的技术是完全通用的,可以不经修改而扩展到非正弦、变速感应电机的运行。论文的第二部分阐述了基于HOS的感应电机状态监测预测频率方法的自动化。介绍了一种基于软件的感应电机状态监测工具的设计、开发和测试。该工具无需经验丰富的操作人员进行判断,无论机器负载、速度或供电类型如何,都可以自动诊断常见故障。此外,该软件是由廉价的、现成的组件构建而成的,并且是基于本文第1部分和第2部分之前的工作。
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Induction machine condition monitoring with higher order spectra. II. Variable frequency operation and automated diagnosis
This paper is the second of a two part submission investigating the use of higher order spectra (HOS) as an induction machine condition monitoring tool. Part I investigated the fundamental aspects of this technique and examined fault detection with a sinusoidal supply to the induction machine. Part II goes on to extend the techniques introduced previously to include the condition monitoring of variable speed induction machine operation. The fault conditions investigated in Part I are re-examined for a variable speed, inverter-fed induction machine. It is shown that the previously introduced techniques are entirely general and extend to nonsinusoidal, variable speed induction machine operation without modification. The second part of this paper then goes on to describe the automation of the HOS based predictive frequency method of induction machine condition monitoring. The design, development and testing of a software based induction machine condition monitoring tool is described. The tool removes the need for experienced operator judgment and automatically diagnoses common fault conditions regardless of the machine load, speed or supply type. In addition, the software is constructed from inexpensive, readily available components and is based on the previous work of parts I and II of this paper.
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