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Analysis of incipient fault signatures in inductive loads energized by a common voltage bus

机译:由公共电压总线供电的感应负载中的初期故障特征分析

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摘要

Recent research has demonstrated the use of electrical signature analysis (ESA),that is, the use of induction motor currents and voltages, for early detection of motorfaults in the form of embedded algorithms. In the event of multiple motors energizedby a common voltage bus, the cost of installing and maintaining fault monitoring anddetection devices on each motor may be avoided, by using bus level aggregate electricalmeasurements to assess the health of the entire population of motors. In this researchan approach for detecting commonly encountered induction motor mechanical faultsfrom bus level aggregate electrical measurements is investigated.A mechanical fault indicator is computed processing the raw electrical measurementsthrough a series of signal processing algorithms. Inference of an incipient faultis made by the percentage relative change of the fault indicator from the ??healthy??baseline, thus defining a Fault Indicator Change (FIC).To investigate the posed research problem, healthy and faulty motors with brokenrotor bar faults are simulated using a detailed transient motor model. The FICbased on aggregate electrical measurements is studied through simulations of differentmotor banks containing the same faulty motor. The degradation in the FIC whenusing aggregate measurements, as compared to using individual motor measurements,is investigated. For a given motor bank configuration, the variation in FIC withincreasing number of faulty motors is also studied. In addition to simulation studiesexperimental results from a two-motor setup are analyzed. The FIC and degradationin the FIC in the case of load eccentricity fault, and a combination of shaft loosenessand bearing damage is studied through staged fault experiments in the laboratorysetup.In this research, the viability of using bus level aggregate electrical measurementsfor detecting incipient faults in motors energized by a common voltage bus isdemonstrated. The proposed approach is limited in that as the power rating fractionof faulty motors to healthy motors in a given configuration decreases, it becomes farmore difficult to detect the presence of incipient faults at very early stages.
机译:最近的研究表明,采用电子签名分析(ESA),即使用感应电动机的电流和电压,以嵌入式算法的形式早期检测电动机故障。如果多个电动机由公共电压总线供电,则可以通过使用总线级汇总电气测量方法来评估整个电动机的运行状况,从而避免在每个电动机上安装和维护故障监视与检测设备的成本。在这项研究中,研究了一种从总线级集合电气测量中检测出常见的感应电动机机械故障的方法。通过一系列信号处理算法,计算出机械故障指示器来处理原始电气测量。通过从“正常”基准线中故障指示符的相对变化百分比来推断出初始故障,从而定义了故障指示符变化(FIC)。为研究提出的研究问题,转子棒故障的健康和故障电动机是使用详细的瞬态电机模型进行仿真。通过模拟包含相同故障电动机的不同电动机组,研究了基于总电气测量的FIC。与使用单独的电机测量结果相比,研究了使用总测量值时FIC的下降情况。对于给定的电动机组配置,还研究了在故障电动机数量增加的情况下FIC的变化。除了仿真研究,还分析了两电机设置的实验结果。在实验室设置中,通过分阶段的故障实验研究了负载偏心故障情况下的FIC和FIC的退化,以及轴松动和轴承损坏的组合。在这项研究中,使用母线级聚合电气测量来检测电动机中的早期故障的可行性演示由公共电压总线供电。所提出的方法的局限性在于,在给定配置下,随着故障电动机相对于正常电动机的额定功率分数的降低,在早期阶段就很难检测到初始故障的存在。

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    Bade Rajesh Kumar;

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  • 年度 2006
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  • 原文格式 PDF
  • 正文语种 en_US
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