DocumentCode
402897
Title
The real-time fault diagnosis for transformers based on multi-scale STF
Author
Lv, Feng ; Wang, Xiu-qing ; Jiao, Ren-Pu
Author_Institution
Dept. of Electr., Hebei Normal Univ., China
Volume
1
fYear
2003
fDate
2-5 Nov. 2003
Firstpage
334
Abstract
Based on the theory of strong tracking filters, an online fault diagnosis method for transformer is given by combining state estimation and parameter identification. Computer simulations show that this method can effectively determine what kind of fault happens and which parameter is related to the fault. In addition, the parameter identification remains accurate when the fault happens.
Keywords
fault diagnosis; parameter estimation; sensor fusion; state estimation; transformers; information fusion; online fault diagnosis method; parameter identification; real-time fault diagnosis; state estimation; strong tracking filters; transformer; Circuit faults; Computer simulation; Condition monitoring; Fault diagnosis; Fault location; Filtering theory; Filters; Insulation life; Parameter estimation; Power transformer insulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN
0-7803-8131-9
Type
conf
DOI
10.1109/ICMLC.2003.1264497
Filename
1264497
Link To Document