The Research Of On-line Monitoring System For Insulation Condition Of Oil-immersed Power Transformer

Building an on-line monitoring system for insulation condition is one of effective methods that may decrease failure rate of power transformer. The sensors interfaces is designed According to the data of different types in this paper based on the study of the structure of on-line monitoring system for power transformer. The communication of on-line monitoring system is realized and a scheme used to exchanging data directly between LabVIEW and application program running in another computer was presented to improve the performance of real-time communication. The fusion method based on clustering by adaptive resonance artificial neural network was studied at last. In this part a method acquiring failure data is presented based on the actual operating data and computer simulation.