Current-based higher-order spectral covariance as a bearing diagnostic feature for induction motors
Current-based higher-order spectral covariance as a bearing diagnostic feature for induction motors
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DOI：
10.1784/insi.2016.58.8.431
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发表时间：
2016-08-01
期刊：
影响因子：
1.1
通讯作者：
Swedrowski, L.
中科院分区：
文献类型：
--
作者：
Ciszewski, T.;Gelman, L.;Swedrowski, L.
由于无法访问发动机，通过分析电源电流来远程诊断感应电机是一个有吸引力的前景。目前，还没有基于当前分析的解决方案，其可信度允许其在工业中使用。对感应电机轴承故障的统计表明，轴承故障占感应电机损坏的40%以上；因此，轴承诊断极为重要。本文概述了基于电源电流测量的感应电机轴承诊断方法。问题是由与诊断组件相关的电机电流中的高水平干扰组件引起的。本文提出了一种基于新颖的高阶谱协方差的信号分析解决方案的新方法，该方法已适用于该诊断系统。还给出了使用该方法的第一个实验结果，它们证实了该方法的优点。
Conducting the diagnosis of induction motors remotely by analysing the supply current is an attractive prospect with the lack of access to the engine. Currently, there is no solution based on an analysis of the current, the credibility of which would allow its use in industry. The statistics of bearing failures in induction motors indicate that they constitute more than 40% of induction motor damage; therefore, bearing diagnosis is extremely important. This paper provides an overview of the methods of diagnosis of induction motor bearings, based on a measurement of the supply current. A problem is caused by the high level of disturbance components in the motor current in relation to the diagnostic components. The paper presents a new approach to signal analysis solutions, based on the novel higher-order spectral covariance, which have been adapted for this diagnostic system. The first experimental results with use of this method are also presented and they confirm the advantages of the method.