Fault Diagnosis Method For Communication Power Supply System in Remote Power Supply Network Based on Improved Wavelet Transform
Due to the complex circuit structure and variable operating environment of the power supply network communication power supply system,it is not possible to accurately diagnose the type of fault.Therefore,a fault diagnosis method for the power supply network communication power supply system based on improved wavelet transform is designed.Obtain the operating signals of the power supply network communication power supply system,use improved wavelet transform technology to preprocess the operating signals,effectively remove noise and interference,and extract fault characteristics.Based on these fault characteristics,establish a fault diagnosis model for the power supply network communication power supply system,determine the type of fault,and achieve fault diagnosis of the power supply network communication power supply system.The experimental results show that the proposed method can successfully diagnose all types of faults,proving that the design method has high diagnostic accuracy and is suitable for fault diagnosis problems in complex power systems.
improving wavelet transformsupple networkcommunication power supply systemfault diagnosisneural networks
万方数据
维普
