DFIG-Based Wind Turbine Fault Diagnosis Using a Specific Discrete Wavelet Transform

被引：0

作者：

Al-Ahmar, E. ^{[1
]}

Benbouzid, M. E. H. ^{[1
]}

Amirat, Y. ^{[1
]}

Ben Elghali, S. E. ^{[1
]}

机构：

[1] Univ Brest, LBMS EA 4325, IUT Brest, F-29238 Brest 03, France

来源：

ICEM: 2008 INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES, VOLS 1- 4 | 2009年

关键词：

Wind turbine; Doubly-Fed Induction Generator (DFIG); Discrete Wavelet Transform (DWT); fault diagnosis; SIGNATURE ANALYSIS; DAMAGE-DETECTION; INDUCTION; STATOR; POWER; FAILURES; MOTORS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper deals with the investigation of a specific transient technique suitable for electrical and mechanical fault diagnosis in a DFIG-based wind turbine. The investigated technique is a combination of the Discrete Wavelet transform, statistics and the energy. Experimental investigations carried out on a 1.1-kW induction generator based test bench show that the proposed technique can unambiguously diagnose faults under transient conditions.

引用

页码：1175 / 1180

页数：6

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