Title :
Transformer Fault Diagnosis Based on Relative Losses of Negative Sequence Power
Author :
Zhou Ling ; Ding Xiaoqun ; Guo Taisheng
Author_Institution :
Coll. of Electr. Eng., Hohai Univ., Nanjing, China
Abstract :
With the own losses of negative sequence power of transformers, this paper introduced a new characteristic of transformer fault diagnosis based on the relative ratio losses of the negative sequence power. Through theoretical study and examples, it is demonstrated that the application of this method to transformer fault diagnosis is reasonable and feasible.
Keywords :
fault diagnosis; power transformers; negative sequence power; transformer fault diagnosis; transformer relative loss; Algorithm design and analysis; Educational institutions; Electrical equipment industry; Fault diagnosis; Information systems; Interference; Monitoring; Power transformers; Sampling methods; Signal analysis; fault diagnosis; negative sequence power; power transformer; relative losses;
Conference_Titel :
Industrial and Information Systems, 2009. IIS '09. International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-3618-7
DOI :
10.1109/IIS.2009.91
