Fault Diagnosis Method of Communication Power Supply Inverter Based on Wavelet Neural Network
The conventional fault diagnosis method for communication power inverters mainly focuses on current diagnosis,which is influenced by the cost function of the inverter fault model,resulting in relatively more misdiagnosis cases.Therefore,a fault diagnosis method for communication power inverters based on wavelet neural networks is designed.According to the energy exchange environment and structural characteristics of communication power inverters,classify inverter faults.Analyze the equivalent circuit of inverter faults based on the voltage changes of the communication power inverter.Fault tolerant control of voltage space vectors for inverter short circuit and open circuit faults to avoid the problem of fault diagnosis errors.
wavelet neural networkcommunication power supplyinverterfault diagnosis method
NETL
NSTL
万方数据
