By Topic

Fault model construction based on gas chromatography of insulation oil by data mining technique

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
He Junjia ; Huazhong Univ. of Sci. & Technol., Wuhan, China ; Wang Zijian ; Yin Xiaogen ; Zhang Dandan
more authors

By DataCruncher, the gas chromatography data of a series of transformers are collected and processed. The data are mined. The fault model of the transformers is constructed. The relationship between the contents of the dissolved key gases and other summed parameters and the occurrence of fault in transformers is formulated. It approved that by this model it can give high precision of prediction in transformer fault diagnosis. The predicted result is agreement other methods.

Published in:

Power System Technology, 2004. PowerCon 2004. 2004 International Conference on  (Volume:1 )

Date of Conference:

21-24 Nov. 2004