Open Circuit Fault Diagnosis of Wind Power Converter Based on Random Forest Algorithm
In order to improve the fault diagnosis accuracy of wind power converter,aiming at the single open cir-cuit and double open circuit faults of IGBT module of doubly fed wind power converter,an open circuit fault diagnosis method of wind power converter based on variational modal decomposition and random forest algorithm is proposed.Firstly,the collected three-phase current signal is decomposed by variational mode decomposition,and then the kurto-sis,mean value and variance of each modal function component are used to reduce the dimension of data to extract da-ta features.Finally,the extracted features are input into the random forest model for model training and fault identifi-cation.The experimental results show that the fault diagnosis method based on variational modal decomposition and random forest algorithm has better fault classification effect compared with other methods.
Wind power converterVariational modal decompositionRandom forest algorithm
NETL
NSTL
万方数据
