The Application Research And The Mode Recognition Technique Of The Electrical Power Cable

With the widely application of XLPE cable and the increasing defaults, the detecting technology on XLPE cable insulation has got great improvement. Based on summarizing the Present technology on XLPE faults detection and reference the PD detection method on power transformer, this paper introduces a method on recognition PD mode of XLPE. This paper uses discharging quantum and stat. artificial operators of n-q-φ chat as inputs to artificial neural network.This paper introduces the development processing of cable and the reason to of PD. Demonstrate the importance of researching on XLPE cable PD measurement.Implement of picking-up character and mode classifying are introduced, and expatiate the principle of artificial neural networks. Soft program is necessary to pick-up the character of PD signals and classify PD mode. Program to pick-up the character of PD signals is compiled. Using the discharging times and stat. operator on PRPD mode of PD signal, mode-classifying implements based on BPNN and SART are compiled.The artificial neural networks designed are applied to recognize measured signals. It is respect to magnitude of discharging signal and increases while signal magnitude increasing; Recognition rate increases with the number of signal group. The reason of fault recognition is presented according to the recognition result.