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Monitoring and diagnostic methods for eccentricity faults in the induction motor

机译:感应电动机偏心故障的监测和诊断方法

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This work concerns the monitoring and diagnosis of eccentricity faults in induction motors. The success of the type of electric motors is mainly due to its simplicity of construction, mechanical robustness, and low cost of manufacturing. Therefore, it is frequently used in industrial applications. These engines are subjected during operation to different kinds of constraints (thermal, electrical, magnetic, mechanical and environmental). The accumulation of these constraints leads to defects in different parts of the engine, which results in lost production and costly repairs. The monitoring and diagnosis of faults have become major necessities to detect failure of electric motors. In this paper, we develop an approach for the detection and diagnosis of faults eccentricities in induction motors. To this end, we build models for each mode of engine operation (normal operation and faulty behaviors). We detect on line the faults with the analysis of residuals obtained from the reference model. We diagnose the faults by the analysis of residuals obtained from faulty models.
机译:这项工作涉及监视和诊断感应电动机中的偏心故障。电动机类型的成功主要归因于其结构简单,机械坚固性和较低的制造成本。因此,它经常在工业应用中使用。这些发动机在运行过程中会受到各​​种限制(热,电,磁,机械和环境)。这些约束的累积会导致发动机不同部分的缺陷,从而导致生产损失和维修费用高昂。故障的监视和诊断已成为检测电动机故障的主要必要条件。在本文中,我们开发了一种检测和诊断感应电动机故障偏心率的方法。为此,我们为每种发动机运转模式(正常运转和错误行为)建立模型。我们通过从参考模型获得的残差分析在线检测故障。我们通过分析从故障模型获得的残差来诊断故障。

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