Application of SFRA for diagnostics on medical isolation transformers

Author(s):  
G. Bucci ◽  
F. Ciancetta ◽  
A. Fioravanti ◽  
E. Fiorucci ◽  
A. Prudenzi
Author(s):  
Jesse Rorabaugh ◽  
Andrew Swisher ◽  
Jim Palma ◽  
Gabriel Andaya ◽  
Matthew Webster ◽  
...  

2012 ◽  
Vol 263-266 ◽  
pp. 1279-1284
Author(s):  
Xiu Yan Wang ◽  
Cui Fang Li ◽  
Zong Shuai Li ◽  
Jia Quan Lin

Airfield lighting circuit is an important part of airfield lighting system, and the insulation resistance value of this circuit is affected by humidity, temperature, the quality and the number of the Isolation Transformers and many other factors, so it is difficult to accurately predict the resistance size by using traditional methods. In the light of insulation resistance values of airfield lighting circuit, this paper put forward adopting Gray System Theory to make the prediction, and then build GM(2,1) model to analyze and forecast the resistance values according to the actually measured values of the insulation resistance at Shanghai Pudong International Airport. Finally, the research shows that there is only a little difference between predicted values and the actually measured values. In other words, the prediction of insulation resistance based on Gray System Theory is viable.


Author(s):  
Mohamad Saleh Sanjari Nia ◽  
Sepehr Saadatmand ◽  
Mohammad Altimania ◽  
Pourya Shamsi ◽  
Mehdi Ferdowsi

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