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Density of Maxima Approach for Broken Bar Fault Diagnosis in Low Slip and Variable Load Conditions of Induction Motors

机译:磁阻断裂杆断裂诊断的最大近距离诊断的密度

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摘要

The three-phase induction motor (TIM) is present in most industrial processes, being the main responsible for the electromechanical conversion in the sector. The total breakdown of these machines can compromise the production of entire sectors in a manufacturing environment, and hence, the need for early fault detection. In this context, broken bar failures are the most common on the TIM rotor. This article analyzes the chaotic behavior of one stator current of a TIM, with different levels of broken rotor bar failures. The characterization of the failure is performed by analyzing the behavior of the chaotic variable called density of maxima. The proposed approach has advantages over classic motor current signature analysis techniques in that it does not require long acquisition windows (in this work, it was possible to perform detection using a range of 0.35 s) and enables fault detection even for motors operating under variable load or with low slip. The technique also has a lower computational cost compared with classical detection methods. The obtained results indicate that the method is also able to identify different severity levels with the TIM under nominal load.
机译:三相感应电动机(TIM)存在于大多数工业过程中,是主要负责该部门的机电转换的主要负责。这些机器的总崩溃可以损害制造环境中整个部门的生产,因此,需要早期故障检测。在此上下文中,断杆故障在蒂姆转子上最常见。本文分析了一个定子电流的混沌行为,具有不同水平的破碎转子杆故障。通过分析称为Maxima密度的混沌变量的行为来执行失败的表征。所提出的方法具有经典电机电流特征分析技术的优势,因为它不需要长时间采集窗口(在这项工作中,可以使用0.35秒的范围进行检测,即使在可变负载下运行的电机也能够实现故障检测或低滑板。与经典检测方法相比,该技术还具有较低的计算成本。所获得的结果表明,该方法还能够在标称负载下与TIM识别不同的严重性水平。

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