Morphological Processing for Crack Detection in Eddy Current Images of Jet Engine Disks

1999 ◽  
pp. 751-758
Author(s):  
N. Eua-anant ◽  
L. Udpa ◽  
J. Chao
Keyword(s):  
Eddy Current ◽  
Crack Detection ◽  
Morphological Processing ◽  
Jet Engine

scholarly journals The early stage wheel fatigue crack detection using eddy current pulsed thermography

2017 ◽  
Author(s):  
Jianping Peng ◽  
Kang Zhang ◽  
Kai Yang ◽  
Zhu He ◽  
Yu Zhang ◽  
...  
Keyword(s):  
Fatigue Crack ◽  
Eddy Current ◽  
Crack Detection ◽  
Early Stage ◽  
Pulsed Thermography ◽  
Fatigue Crack Detection

SOM and RBF Networks for Eddy Current Nondestructive Testing

2011 ◽  
Vol 219-220 ◽  
pp. 1093-1096 ◽  
Author(s):  
Bing Liu ◽  
Ai Hua Li ◽  
Chang Long Wang ◽  
Jian Bin Wang ◽  
Ye Teng Ni
Keyword(s):  
Nondestructive Testing ◽  
Eddy Current ◽  
Crack Detection ◽  
Detection Algorithm ◽  
Ratio Method ◽  
Test Scheme ◽  
Self Organizing Maps ◽  
Rbf Network ◽  
Fisher Ratio ◽  
Som Network

Eddy current testing is a popular nondestructive testing (NDT) technology with a solid theoretical foundation. This paper presents a new crack test scheme which uses a self-organizing maps (SOM) network and a radial basis function (RBF) network to process the crack feature signals in eddy current NDT. And Fisher ratio method is adopted to optimize the RBF network centers and simplifies the network structure. The validity of this crack detection algorithm is verified by an experiment in which the wave signals of different crack locations and depths are acquired from the simulations and used as the training and testing samples. Finally, the assessment of the network’s accuracy is performed and the result is satisfactory.

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