Open AccessA long short-term memory based prediction model for transformer fault diagnosis using dissolved gas analysis with digital twin technology
Author(s) -
Gadepalli Srirama Sarma,
B. Ravindranath Reddy,
Pradeep M. Nirgude,
Pudi Vasudeva Naidu
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijpeds.v13.i2.pp1266-1276
Subject(s) - dissolved gas analysis , transformer , diagnostic model , computer science , long short term memory , transformer oil , engineering , artificial intelligence , data mining , electrical engineering , voltage , artificial neural network , recurrent neural network