文档介绍：ARTICLE IN PRESS
Renewable and Sustainable Energy Reviews 13 (2009) 1–39
ate/rser
Condition monitoring and fault detection of wind turbines
and related algorithms: A review
Z. Hameeda, . Honga, . Choa, . Ahnb,Ã, . Songc
aSchool of Mechanical and Aerospace Engineering, Building 301, Room 1402, Seoul National University, San 56-1 Shinlim-dong,
Kwanak-ku, Seoul 151-744, Republic of Korea
bSchool of Mechanical and Aerospace Engineering & Institute of Advanced Machinery and Design, Seoul National University,
Shinlim-Dong San 56-1, Seoul 151-742, Republic of Korea
cSchool of Mechanical and Aerospace Engineering, Gyeongsang National University, Jinju, Gyeongnam 660-701, Republic of Korea
Received 16 April 2007; accepted 30 May 2007
Abstract
Renewable energy sources like wind energy are copiously available without any limitation. Wind turbines are used to tap the potential
of wind energy, which is available in millions of MW. Reliability of wind turbine is critical to extract this maximum amount of energy
from the wind. We reviewed different techniques, methodologies and algorithms developed to monitor the performance of wind turbine
as well as for an early fault detection to keep away the wind turbines from catastrophic conditions due to sudden breakdowns. To keep
the wind turbine in operation, implementation of condition monitoring system (CMS) and fault detection system (FDS) is paramount
and for this purpose ample knowledge of these two types of systems is mandatory. So, an attempt has been made in this direction to
review maximum approaches related to CMS and FDS in this piece of writing.
r 2007 Elsevier Ltd. All rights reserved.
Keywords: CMS; FDS; WEC; Reliability; Algorithm
Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
2. CMS, methodology and algorithms . . . . . . . . . . . .