scholarly journals Development of a modified stochastic subspace identification method for rapid structural assessment of in-service utility-scale wind turbine towers

Wind Energy ◽  
2017 ◽  
Vol 20 (10) ◽  
pp. 1687-1710 ◽  
Author(s):  
Kaoshan Dai ◽  
Ying Wang ◽  
Yichao Huang ◽  
Weidong Zhu ◽  
Yongfeng Xu
Keyword(s):  
Wind Turbine ◽  
Subspace Identification ◽  
Structural Assessment ◽  
Stochastic Subspace Identification ◽  
Identification Method ◽  
Wind Turbine Towers ◽  
Utility Scale ◽  
Subspace Identification Method

A Modified Stochastic Subspace Identification Method for Estimating Natural Frequencies

2016 ◽  
Author(s):  
Kaoshan Dai ◽  
Ying Wang ◽  
Yichao Huang ◽  
W. D. Zhu ◽  
Y. F. Xu
Keyword(s):  
Natural Frequencies ◽  
Health Assessment ◽  
Operating Conditions ◽  
Subspace Identification ◽  
Lumped Mass ◽  
Mass System ◽  
Stochastic Subspace Identification ◽  
Identification Method ◽  
Periodic Rotation ◽  
Subspace Identification Method

A system identification method for estimating natural frequencies is proposed. This method developed based on the stochastic subspace identification method can identify modal parameters of structures in operating conditions with harmonic components in excitation. It benefits wind turbine tower structural health assessment because classical operational modal analysis methods can fail as periodic rotation excitation from a turbine introduces strong harmonic disturbance to tower structure response data. The effectiveness, accuracy and robustness of the proposed method were numerically investigated and verified through a lumped-mass system model.

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