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Cited 701 time in webofscience Cited 998 time in scopus
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Condition monitoring and fault detection of wind turbines and related algorithms: A review

Authors
Hameed, Z.Hong, Y. S.Cho, Y. M.Ahn, S. H.Song, C. K.
Issue Date
Jan-2009
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Keywords
CMS; FDS; WEC; Reliability; Algorithm
Citation
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, v.13, no.1, pp 1 - 39
Pages
39
Indexed
SCIE
SCOPUS
Journal Title
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume
13
Number
1
Start Page
1
End Page
39
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/26434
DOI
10.1016/j.rser.2007.05.008
ISSN
1364-0321
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. (C) 2007 Elsevier Ltd. All rights reserved.
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공과대학 > Department of Mechanical Engineering > Journal Articles

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