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

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3 Author(s)
Wei Li ; Coll. of Electr. Eng. & Inf. Sci., Hebei Univ. of Sci. & Technol., Shijiazhuang, 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