首页> 外文会议>2018 International Conference on Communications and Electrical Engineering >New Vision about the Mixed Eccentricity Fault Causes in Induction Motors and its relationship with the Rolling Element Bearing Faults : Analytical model dedicated to the REB faults
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New Vision about the Mixed Eccentricity Fault Causes in Induction Motors and its relationship with the Rolling Element Bearing Faults : Analytical model dedicated to the REB faults

机译:感应电动机混合偏心故障原因及其与滚动轴承故障的关系的新视野:专用于REB故障的分析模型

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This paper presents the mechanical fault detection in squirrel cage induction motors (SCIMs). Rotor eccentricity is a common fault in SCIMs. In addition, rolling element bearing (REB) faults is a major problem among different faults, which cause catastrophic damage to rotating electrical machines. This fault is systematically, resulting in undesirable vibrations in several machines. Generally, the REB faults create a static, dynamic and mixed eccentricity type. The questions that arise are:- What are the logical reasons that verify the existence of mixed eccentricity, even in the new rotating electrical machines?- What is the relationship between rolling element bearing faults and the eccentricity faults?Physically, the additional harmonics due to static eccentricity and dynamic eccentricity in stator current spectra are firstly derived with the rotational direction of electromagnetic force (EMF) harmonics into consideration. Motor current signature analysis (MCSA) has become one of the most important techniques in the fault diagnosis field. MCSA has become popular for detection and Iocalization of many faults. It is generally based on fast Fourier transform FFT of the stator current in healthy and faulty state of the induction motors (IMs). This study tried to answer the questions previously asked. On the other hand, this paper has made the analysis of the bearing fault carefully. A new analytical model dedicated to bearing failure has been proposed. The conclusions drawn from the analytical and simulation results are validated experimentally. Finally, the experimental results demonstrated the high sensitivity and clarity of this technique.
机译:本文介绍了鼠笼式感应电动机(SCIM)中的机械故障检测。转子偏心是SCIM中的常见故障。另外,滚动轴承(REB)故障是不同故障之间的主要问题,会对旋转电机造成灾难性损坏。此故障是系统性的,导致多台机器出现不良振动。通常,REB故障会产生静态,动态和混合偏心类型。出现的问题是:-即使在新的旋转电机中,也证明存在混合偏心率的逻辑原因是什么?-滚动轴承故障与偏心故障之间的关系是什么?首先考虑电磁力(EMF)谐波的旋转方向,得出定子电流谱中的静态偏心率和动态偏心率。电动机电流签名分析(MCSA)已成为故障诊断领域中最重要的技术之一。 MCSA已广泛用于许多故障的检测和隔离。它通常基于感应电动机(IM)健康和故障状态下定子电流的快速傅里叶变换FFT。这项研究试图回答先前提出的问题。另一方面,本文对轴承故障进行了仔细的分析。已经提出了一种专门用于轴承失效的新分析模型。从分析和仿真结果得出的结论均通过实验验证。最后,实验结果证明了该技术的高灵敏度和清晰度。

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