Title :
Intelligent agent-based system using dissolved gas analysis to detect incipient faults in power transformers
Author :
Akbari, A. ; Setayeshmehr, A. ; Borsi, H. ; Gockenbach, E. ; Fofana
Author_Institution :
Inst. of Electr. Power Syst., Leibniz Univ. Hannover, Hanover, Germany
Abstract :
Condition monitoring and software-based diagnosis tools are central to the implementation of efficient maintenance management strategies for many engineering applications including power transformers.
Keywords :
chemical analysis; condition monitoring; cooperative systems; fault diagnosis; power transformers; condition monitoring; dissolved gas analysis; engineering application; incipient fault detection; intelligent agent-based system; maintenance management strategy; power transformers; software-based diagnosis tools; Artificial neural networks; Discharges; Intelligent agent; Ontologies; Partial discharges; Power transformer insulation; Power transformers; Thermal analysis; DGA, information fusion, power transformer, diagnosis, evidence theory, multiagent system, ontology;
Journal_Title :
Electrical Insulation Magazine, IEEE
DOI :
10.1109/MEI.2010.5599977
