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Structural health monitoring for a wind turbine system: a review of damage detection methods

Open access
Ciang, Chia Chen, Lee, Jung-Ryul, Bang, Hyung-Joon·2008·Measurement Science and Technology

Abstract

Renewable energy sources have gained much attention due to the recent energy crisis and the urge to get clean energy.Among the main options being studied, wind energy is a strong contender because of its reliability due to the maturity of the technology, good infrastructure and relative cost competitiveness.In order to harvest wind energy more efficiently, the size of wind turbines has become physically larger, making maintenance and repair works difficult.In order to improve safety considerations, to minimize down time, to lower the frequency of sudden breakdowns and associated huge maintenance and logistic costs and to provide reliable power generation, the wind turbines must be monitored from time to time to ensure that they are in good condition.Among all the monitoring systems, the structural health monitoring (SHM) system is of primary importance because it is the structure that provides the integrity of the system.SHM systems and the related non-destructive test and evaluation methods are discussed in this review.As many of the methods function on local damage, the types of damage that occur commonly in relation to wind turbines, as well as the damage hot spots, are also included in this review.

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Metadata

Authors
Ciang, C. C., Lee, J.-R., & Bang, H.-J.
Venue
Measurement Science and Technology
Published
2008-10-13
Volume
19
Issue
12
Pages
122001
ISSN
  • 0957-0233 (ISSN-L)
  • 1361-6501
OpenAlex
W1994533780
Cited by
802
References
0
FWCI
55.17
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Structural health monitoring for a wind turbine system: a review of damage detection methods. https://app.cochat.ai/papers/10.1088/0957-0233/19/12/122001
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Ciang, C. C., Lee, J.-R., & Bang, H.-J. (2008). Structural health monitoring for a wind turbine system: a review of damage detection methods. Measurement Science and Technology. https://doi.org/10.1088/0957-0233/19/12/122001

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