Abstract
AbstractFor wind turbine gearbox fault diagnosis problem, we propose a multi-classification least squares support vector machines (MCLSSVM) model. According to failure mechanism and vibration characteristics of gearbox, it investigates some formulas of fault diagnosis. Through the combination of voting method and decision tree, it constructs the MCLSSVM decision-making structure, and then it is applied on the fault diagnosis of wind turbine gearbox. Tests show that MCLSSVM can be effectively used in the fault diagnosis of wind turbine gearbox. It solves the studying problem of small sample, and overcomes the shortcoming of artificial neural network (ANN) when it is used in fault diagnosis.Keywordswind turbines gearboxfault diagnosisMCLSSVMartificial neural network
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