基于提升小波和Hilbert变换的暂态电能质量检测

In oeder to improve the location accuracy and the type identification speed of disturbance in the transient power quality detection, a lifting wavelet and Hilbert transform fusion method was proposed in this paper. Firstly, the lifting wavelet was employed to get signal approximation components A₁ and detail components D₁ from the disturbed signals. And then, the Hilbert transform was used to calculate the instantaneous amplitude of the two components. According to the instantaneous amplitude, the disturbance time and type were identified accurately. Simulation and experiment results show that, the disturbance time location accuracy can reach 95.7% and the type identification accuracy can reach 91.8% based on the proposed method.