Aiming at the problems of attenuation and distortion of the discharge pulse signal and susceptibility to noise interference in the traditional generator partial discharge(PD) monitoring method. In order to improve its accuracy and rapidity, this article uses broadband detection technology to effectively capture the PD signal, and uses the modal decomposition method to extract the inherent modal components of the discharge pulse signal. Correlation analysis, according to the kurtosis criterion, obtains the effective components containing the characteristic information of the PD pulse, thereby decomposing and separating the interference signal from the PD signal, and accurately grasping the real-time operating status of the generator. The results show that compared with the soft threshold wavelet denoising, the signal-to-noise ratio of this method is improved by 52.5%, and the mean square error is reduced by 30.7%, which are 6.75 and 0.04, respectively. It performs well in the smoothness of the waveform. At the same time, the calculation time of this method is only 8.62s, which greatly reduces the number of iterations and reduces the iteration calculation time during signal analysis. Effectively improve the denoising effect and collection efficiency of the generator PD signal.