By Topic

Electrical equipment fault monitoring system based on temperature change information fusion technology

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

3 Author(s)
Wei Li ; College of Electrical Engineering and Information Science, Hebei University of Science and Technology, Shijiazhuang, 050018, China ; Xue-Ling Song ; Yong-Wei Li

Fault diagnosis is an important method to ensure the normal operation of electrical equipment. In order to reflect the operational status of electrical equipment from many ways and realize the automatic recognition and accurate diagnosis of electrical equipment failure modes, it is proposed a fault diagnosis method based on information fusion technology. In this paper, on the basis of multi-source information fusion technology, a new multi-source information fault diagnosis method combining D-S evidence theory and fuzzy mathematics is put forward.

Published in:

Machine Learning and Cybernetics (ICMLC), 2011 International Conference on  (Volume:1 )

Date of Conference:

10-13 July 2011