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
fDate :
6/22/1905 12:00:00 AM
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;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.860078
