舒锦宏, 徐灵江, 吕延春, et al. Partial Discharge Pattern Recognition of Cables Based on Fuzzy Adaptive Resonance Theory Neural Network[J]. 2021, 40(11): 10-15. DOI: 10.19585/j.zjdl.202111002.
The phase spectrum and statistical parameters of different types of cable partial discharge(PD) are different. Since the difference between individual faults is slight
pattern recognition is difficult. Therefore
a pattern recognition method of cable PD based on fuzzy adaptive resonance theory(Fuzzy-ART) is proposed.Four kinds of artificial defects are set up
and the method is verified by experiments. The experimental results show that the Fuzzy-ART neural network is capable of fast and stable learning and classification. It can not only recognize the known cable PD pattern but also recognize the unknown cable PD fault pattern effectively.It is widely applicable to cable PD pattern recognition.