DocumentCode :
3020262
Title :
Power Transformer Condition Monitoring Based on MAS
Author :
Zheng, Guping ; Dai, Fugui
Author_Institution :
Sch. of Comput. Sci. & Technol., North China Electr. Power Univ., Baoding, China
Volume :
4
fYear :
2009
fDate :
7-8 Nov. 2009
Firstpage :
520
Lastpage :
523
Abstract :
Transformers play a significant role in power systems. The traditional method of transformer maintenance is time based or off-line-based, which is inefficient and costly. This paper MAS technique was introduced into synthetic fault diagnostic system for power Transformer. Where each agent served as an intelligent knowledge body or intelligent disposal method thus the diagnostic result was deduced by the coordination and synthesis agent. The presented system is effective in coordination and synthesis among multi diagnostic results, especially for the case of inadequate fault information. The efficiency harmonization and accuracy of the presented diagnostic system are verified by some practical examples.
Keywords :
condition monitoring; fault diagnosis; multi-agent systems; power transformers; MAS; inadequate fault information; power transformer condition monitoring; synthetic fault diagnostic system; Computer science; Condition monitoring; Dissolved gas analysis; Intelligent agent; Moisture; Oil insulation; Partial discharges; Power transformers; Testing; Voltage transformers; Agent; Condition Monitoring; MAS; power transformer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
Type :
conf
DOI :
10.1109/AICI.2009.101
Filename :
5376253
Link To Document :
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