Research on Fault Diagnosis of Sun Wheel Based on Adaptive Sparrow Search Algorithm
The first stage solar wheel of gearbox of large doubly fed wind turbine is easily damaged due to too much torque.Too low frequency conversion makes it difficult to extract fault features.In order to solve this problem,based on the non-stationarity and periodicity of vibration signal of wind turbine gearbox solar wheel,a sparrow search algorithm combined with adaptive varia-tional mode decomposition method is proposed,and the fitness function value was solved by kurticity weighting The sparrow search algorithm is used to find the optimal parameters of variational mode decomposition.the optimal parameter is used for varia-tional modal decomposition and the interrelation number is used to select the modal components.Finally,the selected components are envelope demodulated and the fault of the solar wheel is identified by envelope spectrum.The validity and fault identification ability of the proposed method are verified by simulation signals and test signals.
Sun WheelSparrow Search AlgorithmVariational Mode DecompositionFault Diagnosis
NETL
NSTL
万方数据
维普
