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MCSA with Normalized Triple Covariance as a bearings diagnostic indicator in an induction motor

机译:MCSA具有标准化的三重协方差,作为感应电机中的轴承诊断指示器

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Statistics of bearing failures in induction motors indicate, that they constitute more than 40% of IM damage, therefore bearing diagnosis is very important. Vibration methods for bearing diagnostics have one major disadvantage - they require the availability of the machine for sensors installation. This is the reason for seeking new methods based on motor supply current analysis. Diagnosis of induction motors, conducted remotely by measuring and analyzing the supply current is attractive with the lack of free access to the engine. So far, there is no solution based on analysis of current, the credibility of which allows use in industry. The article provides an overview of selected methods of diagnosis of induction motor bearings, based on measurement of the supply current. The problem here is the high disturbance components level of the motor current in relation to diagnostic components. The paper presents the new approach to signal analysis solutions, based on statistical methods, which have been adapted to be used by this diagnostic system. First experimental results with the use of this method confirm the advantages of the presented method.
机译:感应电机中轴承故障的统计数据表明,它们构成了40%以上的IM损坏,因此轴承诊断非常重要。轴承诊断的振动方法具有一个主要缺点 - 它们需要机器的可用性来安装。这是基于电机电源电流分析寻求新方法的原因。通过测量和分析供应电流远程进行的感应电动机的诊断具有吸引力,对发动机缺乏可缺乏自由进入。到目前为止,没有基于对电流分析的解决方案,可信度允许在工业中使用。本文基于电源电流的测量,提供了感应电动机轴承诊断方法的概述。这里的问题是与诊断组件相关的电动机电流的高扰动组件。本文介绍了基于统计方法的信号分析解决方案的新方法,该方法已被调整为该诊断系统使用。首先使用该方法的实验结果证实了所提出的方法的优点。

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