Stator current envelope extraction for analysis of broken rotor bar in induction motors

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Pub Date : 2017-08-01 DOI:10.1109/DEMPED.2017.8062362

M. Malekpour, B. Phung, E. Ambikairajah

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引用次数: 10

Abstract

This paper introduces an alternative tool for stator current envelope extraction in induction motors (IMs) aiming for identifying broken rotor bar (BRB). A new time-domain signal processing algorithm using second order generalized integrator-adaptive notch filter (SOGI-ANF) is introduced for online extraction of both steady state and transient envelopes. The adaptive nature and the structural simplicity of the SOGI-ANF as well as its low cost and low computation burden characteristics make it highly suitable for hardware implementation using embedded devices. The superiority of the SOGI-ANF over traditional Hilbert transform-based methods is its adaptive nature which allows accurate tracking of envelope variations. The analytical basis of the proposed method and its experimental verification using a STM32F4 discovery board are investigated. Finite element method (FEM) and experimental setup in the laboratory are also employed to demonstrate the adaptivity and performance of the SOGI-ANF in extracting the steady state and transient phase current envelopes.

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用于异步电动机转子断条分析的定子电流包络线提取

本文介绍了一种用于异步电动机定子电流包络线提取的替代工具，用于识别转子断条。提出了一种利用二阶广义积分器-自适应陷波滤波器(SOGI-ANF)的时域信号处理新算法，用于在线提取稳态包络和暂态包络。SOGI-ANF的自适应性和结构简单性以及低成本和低计算负担的特点使其非常适合在嵌入式设备上进行硬件实现。与传统的基于希尔伯特变换的方法相比，SOGI-ANF的优势在于其自适应特性，可以精确跟踪包络变化。研究了该方法的分析基础，并在STM32F4发现板上进行了实验验证。利用有限元方法和实验室实验装置验证了SOGI-ANF在提取稳态和瞬态相电流包络方面的自适应性和性能。

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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来源期刊

2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)

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