DocumentCode
3583212
Title
One intelligent method for fault diagnosis and its application
Author
Ni, Yuanping ; Brdys, Mietek
Author_Institution
Sch. of Inf. & Autom., Kunming Univ. of Sci. & Technol., China
Volume
1
fYear
2000
fDate
6/22/1905 12:00:00 AM
Firstpage
755
Abstract
An intelligent method for fault diagnosis of a transformer is discussed based on chromatogram data, and a model of improved neural networks for fault synthesis diagnosis is presented. We have tested and verified the practical data of fault samples. Experiments prove that this method is practically variable, has a high recognition rate of faults and can be applied to the fault diagnosis of other electric equipment
Keywords
fault diagnosis; neural nets; transformers; chromatogram data; electric equipment; fault samples; high recognition rate; intelligent method; Automation; Fault diagnosis; Intelligent networks; Network synthesis; Neural networks; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.860078
Filename
860078
Link To Document