Condition monitoring of wind turbines: Techniques and methods

被引：626

作者：

Garcia Marquez, Fausto Pedro ^{[1
]}

Mark Tobias, Andrew ^{[2
]}

Pinar Perez, Jesus Maria ^{[1
]}

Papaelias, Mayorkinos ^{[2
]}

机构：

[1] Univ Castilla La Mancha, Ingenium Res Grp, E-13071 Ciudad Real, Spain

[2] Univ Birmingham, Birmingham B15 2TT, W Midlands, England

来源：

RENEWABLE ENERGY | 2012年 / 46卷

关键词：

Fault detection and diagnosis; Condition monitoring; Maintenance management; Wind turbines; BEARING FAULT-DIAGNOSIS; WAVELET TRANSFORM; VIBRATION SIGNALS; DAMAGE-DETECTION; SINGULARITY ANALYSIS; BALL-BEARINGS; SYSTEM; MAINTENANCE; IDENTIFICATION; ENVELOPE;

D O I：

10.1016/j.renene.2012.03.003

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Wind Turbines (WT) are one of the fastest growing sources of power production in the world today and there is a constant need to reduce the costs of operating and maintaining them. Condition monitoring (CM) is a tool commonly employed for the early detection of faults/failures so as to minimise downtime and maximize productivity. This paper provides a review of the state-of-the-art in the CM of wind turbines, describing the different maintenance strategies, CM techniques and methods, and highlighting in a table the various combinations of these that have been reported in the literature. Future research opportunities in fault diagnostics are identified using a qualitative fault tree analysis. Crown Copyright (C) 2012 Published by Elsevier Ltd. All rights reserved.

引用

页码：169 / 178

页数：10

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