Partial Discharge Pattern Recognition of Power Transformer by Using Information Fusion

2011 ◽  
Vol 128-129 ◽  
pp. 933-937
Author(s):  
Xin Gang Chen ◽  
Yang Yang Zhao ◽  
Chao Feng Zhang ◽  
Xiao Xiao Tian

As one of the most important equipments in the power system, partial discharge (PD) affects the transformer’s properties in a long-term period and the partial discharge pattern recognition has most important sense. In the paper,3 kinds of experimental models simulating discharges were designed and model experiments were performed. Based on this, a transformer partial discharge pattern recognition system based on information fusion technology is developed. the finally experiments show that: information fusion have enough ability to recognize different types of partial discharge.

2012 ◽  
Vol 6 (1) ◽  
pp. 664-667
Author(s):  
Xingang Chen ◽  
Yangyang Zhao ◽  
Chaofeng Zhang ◽  
Xiaoxiao Tian

Author(s):  
V. Jagan Naveen ◽  
K. Krishna Kishore ◽  
P. Rajesh Kumar

In the modern world, human recognition systems play an important role to   improve security by reducing chances of evasion. Human ear is used for person identification .In the Empirical study on research on human ear, 10000 images are taken to find the uniqueness of the ear. Ear based system is one of the few biometric systems which can provides stable characteristics over the age. In this paper, ear images are taken from mathematical analysis of images (AMI) ear data base and the analysis is done on ear pattern recognition based on the Expectation maximization algorithm and k means algorithm.  Pattern of ears affected with different types of noises are recognized based on Principle component analysis (PCA) algorithm.


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