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
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4577-0305-8
DOI :
10.1109/ICMLC.2011.6016717