TY - JOUR
T1 - Detection of rotor imbalance, including root cause, severity and location
AU - Cacciola, S.
AU - Agud, I. Munduate
AU - Bottasso, C. L.
PY - 2016/10/3
Y1 - 2016/10/3
N2 - This paper presents a new way of detecting imbalances on wind turbine rotors, by using a harmonic analysis of the rotor response in the fixed frame. The method is capable of distinguishing among different root causes of the imbalance. In addition, the imbalance severity and location, i.e. the affected blade, can be identified. The automatic classification of the imbalance problem is obtained by using a neural network. The performance of the method is illustrated with the help of different fault scenarios, within a high-fidelity simulation environment.
AB - This paper presents a new way of detecting imbalances on wind turbine rotors, by using a harmonic analysis of the rotor response in the fixed frame. The method is capable of distinguishing among different root causes of the imbalance. In addition, the imbalance severity and location, i.e. the affected blade, can be identified. The automatic classification of the imbalance problem is obtained by using a neural network. The performance of the method is illustrated with the help of different fault scenarios, within a high-fidelity simulation environment.
UR - http://www.scopus.com/inward/record.url?scp=84995428250&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/753/7/072003
DO - 10.1088/1742-6596/753/7/072003
M3 - Conference article
AN - SCOPUS:84995428250
SN - 1742-6588
VL - 753
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 7
M1 - 072003
T2 - Science of Making Torque from Wind, TORQUE 2016
Y2 - 5 October 2016 through 7 October 2016
ER -