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

2021 IEEE International Electric Machines & Drives Conference (IEMDC) Pub Date : 2021-05-17 DOI:10.1109/IEMDC47953.2021.9449496

Lei Zhou, Bingnan Wang, Chungwei Lin, Hiroshi Inoue, Masahito Miyoshi

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引用次数: 9

Abstract

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.

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考虑高阶气隙磁导谐波的psh型异步电动机静态偏心故障检测

感应电机静偏心故障的诊断对于电机的质量控制，特别是在电机制造过程中的质量控制至关重要。主槽谐波(PSH)型电机具有转子条数和极对数的特殊组合，以往的研究表明，传统的方法不能有效地检测出这类电机的SE故障。为了寻找一种有效的psh型IMs的SE故障检测方法，本文对IMs中考虑气隙磁导率高次谐波的SE感应线路电流进行了分析。分析表明，在psh型三相IMs的线路电流中，气隙磁导率中的二阶谐波可以诱发se电平相关信号。通过解析IM模型和时间步进有限元模型的仿真验证了特征电流信号的产生机理。本文讨论了电机电流中的特征信号，为psh型IMs的SE故障定量检测提供了一种新的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2021 IEEE International Electric Machines & Drives Conference (IEMDC)

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