Impedance monitoring and damage detection in bottom-fixed wind turbines under blade rotation using linear discriminant analysis: A lab-scaled experimental investigation

Thanh-Truong Nguyen , Jeong-Tae Kim , Gia Toai Truong , Thanh-Canh Huynh

Abstract

This study investigates impedance monitoring and damage detection in bottom-fixed wind turbine structures, addressing the challenges posed by operational variations such as blade rotation and noise. A novel linear discriminant analysis-based damage classification method is proposed, utilizing a set of selected impedance features extracted from the impedance signals acquired from piezoelectric transducers. Experimental validation on a lab-scaled wind turbine model demonstrates the effectiveness of the proposed method in accurately classifying damage, under varying operational wind conditions and noise effects. The results show that the proposed method can enhance impedance-based damage detection in the wind turbine joints while mitigating the impact of operational variations and noises, providing a robust and efficient tool for health monitoring of wind turbine structures.

Key Words

blade rotation; impedance-based method; LDA; piezoelectric transducers; wind turbine structures

Address

(1) Thanh-Truong Nguyen — Faculty of Mechanical Engineering, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, Dien Hong Ward, Ho Chi Minh City, Vietnam
(2) Thanh-Truong Nguyen — Vietnam National University Ho Chi Minh City, Linh Xuan Ward, Ho Chi Minh City, Vietnam
(3) Jeong-Tae Kim — Department of Ocean Engineering, Pukyong National University, 45 Yongso-ro, Daeyeon 3-dong, Namgu, Busan 48513, Republic of Korea
(4) Gia Toai Truong — Faculty of Civil Engineering, Dong A University, 33 Xo Viet Nghe Tinh, Hoa Cuong, Da Nang 550000, Vietnam
(5) Thanh-Canh Huynh — Institute of Research and Development, Duy Tan University, Danang 550000, Vietnam
(6) Thanh-Canh Huynh — Faculty of Civil Engineering, Duy Tan University, Danang 550000, Vietnam.

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