Abstract: Wide-band detection and classification techniques based on pulse waveshapes were developed to detect and classify multi-PD(partial discharge) sources and suppress random interference signals,with which it is difficult for the conventional PD measurement systems to deal.Approaches,including threshold discrimination based on peak-time sequence of pulses,wavelet soft threshold denoising for pulse waveshapes and marginal coordinate classification based on 2D characteristic plane of pulse sequences,were presented to improve the classification performances of the detection and classification system for some special cases.PD experiments under DC voltage show that these approaches effectively improve the classification performances of the PD detection system.