Fault diagnosis of wind turbine drive train faults based on dynamical clustering


In this paper, a fault diagnosis architecture based on a dynamical clustering algorithm is developed to detect and isolate faults in wind turbines. The challenge is to deal with different kinds of faults. Constraints on the time of detection are also added in the sense that a fault must be detected as soon as possible. Also, limited historical data… (More)
DOI: 10.1109/CDC.2013.6760779


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