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Static Eccentricity Fault Detection for PSH-type Induction Motors Considering High-order Air Gap Permeance Harmonics

机译:考虑大阶气隙渗透谐波的PSH型感应电机的静态偏心故障检测

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Diagnosis of static eccentricity (SE) fault for induction motors (IMs) is essential for the quality control of the machines, especially during their manufacturing process. Principal slot harmonic (PSH) type IMs have special combinations of rotor bar number and pole pair number, and it has been shown in previous works that conventional methods cannot effectively detect SE fault for these machines. Aiming at finding an effective approach for the SE fault detection for PSH-type IMs, this paper presents an analysis of SE-induced line currents in IMs with the higher-order harmonics of the air gap permeance considered. The analysis reveals that the second-order harmonic in the air gap permeance can induce SE-level-related signals in the line current of PSH-type three-phase IMs. The generation mechanism of the signature current signal is validated by simulations with an analytical IM model and a time-stepping finite element model. The signature signal in the motor's current discussed in this paper provides a new method for quantitative detection of SE fault for PSH-type IMs.
机译:感应电动机(IMS)静电偏心(SE)故障的诊断对于机器的质量控制是必不可少的,特别是在制造过程中。主槽谐波(PSH)类型IMS具有转子条数和杆对数的特殊组合,并且已经在以前的作品中显示了常规方法不能有效地检测这些机器的SE故障。旨在寻找有效的PES型IMS故障检测方法,本文提出了IMS中SE诱导的线电流的分析,具有考虑的气隙渗透的高阶谐波。该分析显示,空气间隙渗透中的二阶谐波可以在PSH型三相IMS的线电流中诱导SE级相关信号。通过模拟使用分析IM模型和时间步进有限元模型来验证签名电流信号的生成机制。本文讨论的电机电流中的签名信号提供了一种用于PSH型IMS的SE故障的新方法。

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