基于电机电流特征分析的无刷双馈感应电机静态偏心故障检测

M. Afshar, S. Abdi, M. Ebrahimi, Seyed Abolfazl Mortazavizadeh
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引用次数: 9

摘要

本文首次提出了一种新的无刷双馈感应电机转子偏心故障检测方法。由于bdfim是风力发电中双馈感应电机的有吸引力的替代品,因此关注其故障检测至关重要。由于BDFIM特殊的转子结构和定子绕组构型以及复杂的磁场,现有的传统感应电机故障检测方法不能直接应用于BDFIM。本文提出了一种基于定子电流谐波分析的新型故障检测技术,用于BDFIM转子偏心故障的检测。通过解析缠绕函数法和D180 BDFIM样机的有限元分析,验证了所提故障检测方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Static Eccentricity Fault Detection in Brushless Doubly-Fed Induction Machines based on Motor Current Signature Analysis
In this paper a new rotor eccentricity fault detection method is proposed for the first time for brushless doubly-fed induction machines (BDFIMs). Due to the fact that BDFIMs are attractive alternatives to doubly-fed induction machines for wind power generation, paying attention to their fault detection is essential. Existing fault detection methods for conventional induction machines can not be directly applied to the BDFIM due to its special rotor structure and stator winding configurations as well as the complex magnetic fields. In this paper a new fault detection technique based on stator current harmonic analysis is proposed to detect rotor eccentricity faults in the BDFIM. The validity of the proposed fault detection method is verified by analytical winding function method and finite element analysis on a prototype D180 BDFIM.
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