다중 센서 융합을 이용한 풍력 터빈 구조물의 손상 검출

Title
다중 센서 융합을 이용한 풍력 터빈 구조물의 손상 검출
Alternative Title
Damage Detection of Wind Turbine Tower Structures Using Multimetric Sensor Data Fusion
Author(s)
이진학; 박종웅; 정병진; 한택희
KIOST Author(s)
Yi, Jin Hak(이진학)Han, Taek Hee(한택희)
Publication Year
2014-08-25
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 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
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/26055
Bibliographic Citation
Advances in Civil, Environmental, and Materials Research (ACEM2014), pp.1 - 9, 2014
Publisher
International Association of Structural Engineering and Mechanics
Type
Conference
Language
English
Publisher
International Association of Structural Engineering and Mechanics
Related Researcher
Research Interests

Ocean Energy-Tidal Current Energy Converter System,Infrastructure Management-Structural Health Monitoring,Offshore Wind,해양에너지-조류발전시스템,시설물 유지관리-구조건전성 평가,해상풍력

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