Measurement Method of Partial Discharge Super High Frequency Signal Based on Adaptive Wavelet Denoising
To accurately detect ultra-high frequency signals of partial discharge,a measurement method for ultra-high frequency signals of partial discharge based on adaptive wavelet denoising is proposed.The signal acquisition module utilizes partial discharge sensors and time interleaved analog-to-digital conversion technology to collect high-frequency signals of partial discharge in power equipment.These signals are input into the signal processing module,and after adaptive wavelet denoising,the ultra-high frequency signals of partial discharge are detected through the Duffing os-cillator and chaos theory in the signal detection module.The test results show that this method can collect different types of partial discharge signals and has good continuity.Reduce the interference of noise on the signal,with maxi-mum amplitude error and waveform similarity reaching 0.984 and 0.988.The detection accuracy of ultra-high fre-quency signals is above 92.5%.
adaptivewavelet denoisingpartial dischargeultra-high frequency(UHF)signal measurementchaos theory
万方数据
维普
