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Frontiers of Structural and Civil Engineering

ISSN 2095-2430

ISSN 2095-2449(Online)

CN 10-1023/X

Postal Subscription Code 80-968

2018 Impact Factor: 1.272

Front. Struct. Civ. Eng.    2015, Vol. 9 Issue (1) : 42-47    https://doi.org/10.1007/s11709-014-0285-3
RESEARCH ARTICLE
Development of temperature-robust damage factor based on sensor fusion for a wind turbine structure
Jong-Woong PARK1,Sung-Han SIM2,Jin-Hak YI3,Hyung-Jo JUNG4,*()
1. Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana IL 61801, USA
2. School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 689-798, Republic of Korea
3. Coastal Development & Ocean Engineering Research Division, Korea Institute of Ocean Science and Technology, Ansan 426-744, Republic of Korea
4. Department of Civil and Environmental Engineering, KAIST, Daejeon 305-701, Republic of Korea
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Abstract

Wind power systems have gained much attention due to the relatively high reliability, maturity in technology and cost competitiveness compared to other renewable alternatives. Advances have been made to increase the power efficiency of the wind turbines while less attention has been focused on structural integrity assessment of the structural systems. Vibration-based damage detection has widely been researched to identify damages on a structure based on change in dynamic characteristics. Widely spread methods are natural frequency-based, mode shape-based, and curvature mode shape-based methods. The natural frequency-based methods are convenient but vulnerable to environmental temperature variation which degrades damage detection capability; mode shapes are less influenced by temperature variation and able to locate damage but requires extensive sensor instrumentation which is costly and vulnerable to signal noises. This study proposes novelty of damage factor based on sensor fusion to exclude effect of temperature variation. The combined use of an accelerometer and an inclinometer was considered and damage factor was defined as a change in relationship between those two measurements. The advantages of the proposed method are: 1) requirement of small number of sensor, 2) robustness to change in temperature and signal noise and 3) ability to roughly locate damage. Validation of the proposed method is carried out through numerical simulation on a simplified 5 MW wind turbine model.

Keywords sensor fusion      damage detection      structural health monitoring     
Corresponding Author(s): Hyung-Jo JUNG   
Online First Date: 08 January 2015    Issue Date: 02 April 2015
 Cite this article:   
Jong-Woong PARK,Sung-Han SIM,Jin-Hak YI, et al. Development of temperature-robust damage factor based on sensor fusion for a wind turbine structure[J]. Front. Struct. Civ. Eng., 2015, 9(1): 42-47.
 URL:  
https://academic.hep.com.cn/fsce/EN/10.1007/s11709-014-0285-3
https://academic.hep.com.cn/fsce/EN/Y2015/V9/I1/42
Fig.1  Simplified wind turbine model and thrust force. (a) 5 MW wind turbine model; (b) thrust force
height (m)t1/t2 (mm)D1/D2tip mass (t)density (kg/m3)natural frequency(Hz)
9019/27Φ3.87m/Φ6m251.278500.31, 3.16
Tab.1  Properties of 5 MW wind turbine model
Fig.2  Temperature versus modulus of elasticity
number of inclinometer13515
location151,7,151,5,8,11,151–15
RMS error (%)2.971.791.201.11
Tab.2  Configuration of inclinometers
Fig.3  Comparison of the exact and estimated acceleration
Fig.4  Sensitivity of damage factor to 50% damage
Fig.5  Variation of natural frequency
Fig.6  Temperature versus NDF
Fig.7  Temperature versus 1st natural frequency
Fig.8  Temperature versus damage factor with 5% RMS noise
Fig.9  Comparison of the NDF on signal noise
Fig.10  Change in natural frequency under 5% RMS noise
Fig.11  Comparison of the natural frequency on signal noise
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