DocumentCode
552472
Title
Electrical equipment fault monitoring system based on temperature change information fusion technology
Author
Li, Wei ; Song, Xue-ling ; Li, Yong-wei
Author_Institution
Coll. of Electr. Eng. & Inf. Sci., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Volume
1
fYear
2011
fDate
10-13 July 2011
Firstpage
10
Lastpage
14
Abstract
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.
Keywords
fault diagnosis; fuzzy set theory; power system measurement; power system protection; D-S evidence theory; automatic recognition; electrical equipment fault monitoring system; fault diagnosis; fuzzy mathematics; multisource information fusion technology; operational status; temperature change information fusion technology; Cybernetics; Fault diagnosis; Machine learning; Monitoring; Temperature measurement; Temperature sensors; D-S evidence theory; Information fusion; fuzzy mathematics; technology fault diagnosis; temperature detect;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location
Guilin
ISSN
2160-133X
Print_ISBN
978-1-4577-0305-8
Type
conf
DOI
10.1109/ICMLC.2011.6016717
Filename
6016717
Link To Document