Damage Detection for Offshore Wind Turbines Subjected to Non-Stationary Ambient Excitations: A Noise-Robust Algorithm Using Partial Measurements

Reliable damage detection in operational offshore wind turbines (OWTs) remains challenging due to the inherent non-stationarity of environmental excitations and signal degradation from noise-contaminated partial measurements. To address these limitations, this study proposes a robust damage detectio...

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Vydané v:Energies (Basel) Ročník 18; číslo 14; s. 3644
Hlavní autori: Yang, Ning, Huang, Peng, Ye, Hongning, Zeng, Wuhua, Liu, Yusen, Zheng, Juhuan, Lin, En
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Basel MDPI AG 01.07.2025
Predmet:
Air-turbines
Algorithms
Alternative energy sources
cross-correlation functions
damage detection
Earthquakes
Fault location (Engineering)
Investigations
Kalman filters
measurement noise
Methods
non-stationary ambient excitations
Offshore
Offshore wind farms
offshore wind turbines
Parameter estimation
Parameter identification
Reliability (Engineering)
Vibration
wind energy
Wind power
China
ISSN:1996-1073, 1996-1073
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Shrnutí:Reliable damage detection in operational offshore wind turbines (OWTs) remains challenging due to the inherent non-stationarity of environmental excitations and signal degradation from noise-contaminated partial measurements. To address these limitations, this study proposes a robust damage detection method for OWTs under non-stationary ambient excitations using partial measurements with strong noise resistance. The method is first developed for a scenario with known non-stationary ambient excitations. By reformulating the time-domain equation of motion in terms of non-stationary cross-correlation functions, structural stiffness parameters are estimated using partially measured acceleration responses through the extended Kalman filter (EKF). To account for the more common case of unknown excitations, the method is enhanced via the extended Kalman filter under unknown input (EKF-UI). This improved approach enables the simultaneous identification of the physical parameters of OWTs and unknown non-stationary ambient excitations through the data fusion of partial acceleration and displacement responses. The proposed method is validated through two numerical cases: a frame structure subjected to known non-stationary ground excitation, followed by an OWT tower under unknown non-stationary wind and wave excitations using limited measurements. The numerical results confirm the method’s capability to accurately identify structural damage even under significant noise contamination, demonstrating its practical potential for OWTs’ damage detection applications.
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:1996-1073
1996-1073
DOI:10.3390/en18143644