基于PSD估计方法的SCIG型风力机转子故障检测

2016 8th International Conference on Modelling, Identification and Control (ICMIC) Pub Date : 2016-11-01 DOI:10.1109/ICMIC.2016.7804176

N. Lahcene, A. Hafaifa, A. Kouzou, M. Guemana, S. Abudura

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引用次数: 8

摘要

本文介绍了分别采用周期图、协方差和MUSIC技术对三台相同鼠笼式异步发电机定子电流特征进行MCSA分析，诊断转子断条的实验结果。这些特征是在实验室实现的试验台的DSP上检测到的。

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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Detecting rotor faults of SCIG based wind turbine using PSD estimation methods

This paper presents some experimental results obtained for the diagnosis of the rotor broken bars in three identical squirrel cage induction generators by the analysis of stator current signatures MCSA using Periodogram, Covariance, and MUSIC techniques respectively. These signatures are detected from DSP of the test bench implemented at the laboratory.

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2016 8th International Conference on Modelling, Identification and Control (ICMIC)

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