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首页> 外文期刊>Mechanical systems and signal processing >Broken Rotor Bars Detection By A New Non-invasive Diagnostic Procedure
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Broken Rotor Bars Detection By A New Non-invasive Diagnostic Procedure

机译：通过一种新的非侵入性诊断程序检测转子条断裂

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摘要

A new technique of diagnosing data for broken rotor bars in induction motors derived from two of the three stator currents, the Beirut diagnostic procedure (BDP) is presented in this paper. The theoretical principles directly related to the application of this diagnostic technique are described, emphasizing the use of a severity factor in order to evaluate the extension of the fault. Defining the severity factor as the normalized amplitude of the fault characteristic frequency enables us to draw up a table of comparison of several usual electric diagnostic methods. Besides the traditional one-phase current spectrum analysis, values of the severity factor related to electrical signals like the instantaneous powers, the current space vector modulus and finally related to the new Beirut diagnostic method are analyzed with respect to the variation of the power factor angle and of the sum of the two current side-band angular displacement. The BDP offers several advantages over the usual motor current signature analyses (MCSA) methods: it is shown how the proposed severity factor applied to the new diagnostic technique is not dependent on motor parameters such as the power factor angle and the fault type which is not the case of the instantaneous powers. In addition, the BDP has the advantage of detecting easily fault characteristic frequencies, which is not possible via diagnostic methods that use the detection of two side-band components as in the simple current spectrum.rnBy theoretical analysis, computer simulations, and laboratory experiments, it is shown that the new method enhances the reliability of diagnostics of broken rotor bars in induction motor.
机译：本文提出了一种诊断来自三个定子电流中的两个定子电流的感应电动机中转子线断裂的数据的新技术，即贝鲁特诊断程序（BDP）。描述了与该诊断技术的应用直接相关的理论原理，强调了使用严重性因子来评估故障的扩展。将严重性因子定义为故障特征频率的归一化幅度，使我们能够绘制几种常用电诊断方法的比较表。除了传统的单相电流频谱分析之外，还针对功率因数角的变化分析了与电信号（例如瞬时功率），电流空间矢量模量以及最终与新贝鲁特诊断方法有关的严重性因子的值。和两个当前边带角位移之和。 BDP与通常的电动机电流信号分析（MCSA）方法相比具有几个优点：显示了建议的应用于新诊断技术的严重性因素如何不依赖于电动机参数，例如功率因数角度和故障类型，而这些因素并不瞬时功率的情况。此外，BDP具有易于检测故障特征频率的优势，这是无法通过使用像检测简单电流谱中那样检测两个边带分量的诊断方法来实现的。通过理论分析，计算机模拟和实验室实验，结果表明，新方法提高了感应电动机转子断条诊断的可靠性。

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