TY - GEN
T1 - Experimental Study of the Vibration Coupling Characteristics Between Wind Turbine Tower and Blades
AU - Song, Zhouyuan
AU - Cao, Yanling
AU - Guan, Yang
AU - Deng, Rongfeng
AU - Qin, Bo
AU - Gu, Fengshou
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026/1/3
Y1 - 2026/1/3
N2 - Wind turbine blades are critical components for energy conversion but are susceptible to fatigue damage due to complex environmental and loading conditions. Traditional blade vibration monitoring methods, which rely on sensors installed on the blade surface, face challenges in terms of placement, signal transmission, and maintenance costs. To address these limitations, this study explores a cost-effective method to monitor blade conditions via tower vibrations. It establishes a four-degree-of-freedom lumped mass model, revealing that blade vibrations can transmit to tower through the nacelle. This finding establishes tower vibrations as a viable indirect measurement approach for blade dynamics. To validate this theory, an experimental study was conducted based on a small-scale wind turbine. The test system consists of accelerometers, laser displacement sensors, and video measurement technology. Offline tests were performed to determine how the natural frequency of the blade varies with added mass whereas online tests demonstrated corresponding changes in tower vibration frequency. The results showed that as the blade mass increased, its natural frequency decreased, which was reflected in the tower’s vibration response correspondingly. Moreover, remote video-based monitoring results closely match the accelerometer data, confirming the feasibility of a non-contact blade vibration measurement method. This study bridges theoretical analysis and experimental validation, proving that tower vibrations can effectively reflect blade dynamics. The findings provide a foundation for remote and cost-effective blade health monitoring, enhancing the practical applications of wind turbine condition monitoring technology.
AB - Wind turbine blades are critical components for energy conversion but are susceptible to fatigue damage due to complex environmental and loading conditions. Traditional blade vibration monitoring methods, which rely on sensors installed on the blade surface, face challenges in terms of placement, signal transmission, and maintenance costs. To address these limitations, this study explores a cost-effective method to monitor blade conditions via tower vibrations. It establishes a four-degree-of-freedom lumped mass model, revealing that blade vibrations can transmit to tower through the nacelle. This finding establishes tower vibrations as a viable indirect measurement approach for blade dynamics. To validate this theory, an experimental study was conducted based on a small-scale wind turbine. The test system consists of accelerometers, laser displacement sensors, and video measurement technology. Offline tests were performed to determine how the natural frequency of the blade varies with added mass whereas online tests demonstrated corresponding changes in tower vibration frequency. The results showed that as the blade mass increased, its natural frequency decreased, which was reflected in the tower’s vibration response correspondingly. Moreover, remote video-based monitoring results closely match the accelerometer data, confirming the feasibility of a non-contact blade vibration measurement method. This study bridges theoretical analysis and experimental validation, proving that tower vibrations can effectively reflect blade dynamics. The findings provide a foundation for remote and cost-effective blade health monitoring, enhancing the practical applications of wind turbine condition monitoring technology.
KW - Lump mass model
KW - Non-contact measurement
KW - Vibration monitoring
KW - Video-based analysis
KW - Wind turbine blade
UR - https://www.scopus.com/pages/publications/105027152270
UR - https://link.springer.com/book/10.1007/978-3-032-01363-7
U2 - 10.1007/978-3-032-01363-7_36
DO - 10.1007/978-3-032-01363-7_36
M3 - Conference contribution
AN - SCOPUS:105027152270
SN - 9783032013620
SN - 9783032013651
VL - 2
T3 - Mechanisms and Machine Science
SP - 463
EP - 475
BT - Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences, (UNIfied 2025)
A2 - Shu, Xiong
A2 - Zhu, Yun
A2 - Chen, Bingyan
A2 - Zou, Hongxiang
PB - Springer, Cham
T2 - UNIfied Conference of International Conference on Damage Assessment of Structures, DAMAS 2025, International Conference on Maintenance Engineering, IncoME 2025 and The Efficiency and Performance Engineering, TEPEN 2025
Y2 - 16 May 2025 through 19 May 2025
ER -