Fault Diagnosis and SF_6 Composition Analysis Based on Data Digging
Xi Zhang · Electric Switchgear · 2013
The paper firstly introduces rough sets and neutral fuzzy network,then attempts to use data mining technology in SF6composition analysis and fault diagnosis of electrical apparatus. It aims at using neutral fuzzy network based on rough sets,and by processing SF6accumulated data from fault and maintenance documents of SF6equipments,the correlation between the state of operation and the gases is built. The paper puts most attention on data mining technology in prediction of the operation state. This research implies that the data mining technology has a bright future in application to electrical power engineering.