Title :
Large power transformer condition evaluation based on multilevel extension theory
Author :
Xie, Qing ; Li, Yanqing ; Xie, Hongling ; Lv, Fangcheng ; Peng, Peng
Author_Institution :
North China Electr. Power Univ., Baoding
Abstract :
Condition evaluation on large power transformer is an important approach to improve reliability of transformer and provide proper decision-making for condition-based maintenance by means of combining multilevel extension assessment method with influencing factors for transformer condition, a new method of transformer condition evaluation based on multilevel extension assessment was presented in this paper. Extension analytic hierarchy process (EAHP) was applied to calculate the weight of the transformer condition information. At last two examples were taken to prove the evaluation method to be correct and effective.
Keywords :
condition monitoring; decision making; power system reliability; power transformer testing; EAHP; condition-based maintenance; decision-making; extension analytic hierarchy process; multilevel extension assessment method; power transformer condition evaluation; transformer reliability; Decision making; Electrical safety; Fuzzy neural networks; Fuzzy reasoning; Fuzzy set theory; Information analysis; Maintenance; Power system reliability; Power transformers; Safety devices; EAHP; condition evaluation; multilevel extension evaluation; transformer; weight;
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location :
Nanjuing
Print_ISBN :
978-7-900714-13-8
Electronic_ISBN :
978-7-900714-13-8
DOI :
10.1109/DRPT.2008.4523540