Title :
On-line transformer winding´s fault monitoring and condition assessment
Author :
Ding, XiaoQun ; Cai, Hui
Author_Institution :
Coll. of Electr. Eng., Hohai Univ., Nanjing, China
Abstract :
This paper presents a comprehensive method for the online monitoring of transformer winding faults and identifying the position of the faults, as well as transformer condition monitoring based on parameter identification and artificial intelligence technology. By using online monitoring three phases of electric quantities and DGA, the parameters and operation states of a transformer can be identified and tracked. This method can also improve the accuracy of fault diagnosis
Keywords :
artificial intelligence; computerised monitoring; fault diagnosis; insulation testing; maintenance engineering; parameter estimation; power transformer insulation; power transformer testing; transformer windings; DGA; artificial intelligence technology; condition monitoring; fault diagnosis; insulation breakdown testing; parameter identification; power transformer winding condition assessment; power transformer winding fault monitoring; three-phase electric quantities; Artificial intelligence; Condition monitoring; Dissolved gas analysis; Fault diagnosis; Gas detectors; Gases; Oil insulation; Power transformer insulation; Power transformers; Testing;
Conference_Titel :
Electrical Insulating Materials, 2001. (ISEIM 2001). Proceedings of 2001 International Symposium on
Conference_Location :
Himeji
Print_ISBN :
4-88686-053-2
DOI :
10.1109/ISEIM.2001.973799
