Title :
Research on Fault Diagnosis for Oil-immersed Transformer Based on Grey Degree Close
Author :
Li, Cuifeng ; Duan, Xiaojuan
Author_Institution :
Zhejiang Bus. Technol. Inst., Ningbo
fDate :
May 30 2007-June 1 2007
Abstract :
A new method named grey relation close degree using the grey system theory and the definition of the distance of two points is brought up. The fault models are ascertained according to the close degree among the fault symptom sets and the fault model sets. At last, the model is successfully used in fault diagnosis of oil-immersed transformer. The practical application results show the effectiveness of the proposed approach. It is proved that the method is concise, useful and reliable.
Keywords :
fault diagnosis; grey systems; power transformers; fault diagnosis; fault model sets; fault symptom sets; grey relation close degree; grey system theory; oil-immersed transformer; Automatic control; Automation; Control systems; Electrical equipment industry; Electronic mail; Fault diagnosis; Industrial control; Mathematics; Oil insulation; Physics; GM(1,1); close degree; fault diagnosis; relation degree;
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0818-4
Electronic_ISBN :
978-1-4244-0818-4
DOI :
10.1109/ICCA.2007.4376929
