Weak partial discharge signals are always overwhelmed by white-noise in GIS partial discharge online monitoring.So how to suppress white-noise plays an important part in GIS partial discharge online monitoring.However

the first generation wavelet denoising algorithm has a large amount of calculation and poor denoising efficiency.In order to suppress white-noise more efficiently and quickly

we put forward a method that the lifting dual-tree complex wavelet is transformed into the white-noise suppression research because of the disadvantages of the first generation wavelet denoising algorithm.This algorithm is obtained by lifting the first generation dual-tree complex wavelet transform

and it combines the excellent denoising ability of complex wavelet transform and the high calculation efficiency of lifting wavelet transform.Then the online monitoring soft software system uses this algorithm as the core of calculation module to do field monitoring experiment.The results of simulation and experiment show that

compared with other denoising algorithms

the lifting dual-tree complex wavelet transform calculation speed is increased by 83%

memory occupancy is reduced by nearly 50 percent

the signal-to-noise ratio is improved

and waveform similarity coefficient is much closer to 1

which can better meet the the requirements of real-time in GIS partial discharge online monitoring

and has higher application value in the engineering practice.