Study on Multi-source Mixed Partial Discharge Signals Separation Method Based on AMUSE Algorithm
Weizhi Sun, Hu Sheng, Liang Ni Shen · 2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST) · 2021
Partial discharge is one of the main factors that harm the insulation of high voltage electrical equipment. When multiple insulation defects appear in the equipment at the same time, it will lead to the generation of hybrid partial discharge signal, which brings great challenges to the subsequent fault type identification work. This research studies the mixed-signal separation method of two uncorrelated insulation defects in electrical equipment. A blind source separation algorithm based on multiple unknown signal extraction algorithms is used to separate partial discharge mixed signals, and similar coefficients are used to evaluate the separation performance and anti- interference performance of the algorithm. The simulation results show that the method can effectively separate the mixed partial discharge signal, and the similarity coefficient between the separated signal and the original signal is more than 0.893, and it has good anti-interference performance. It provides an effective method for accurately judging the type of insulation defects and effectively avoiding the decline of electrical equipment insulation.