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The method of nondestructive testing for aircraft skin composite defects using infrared thermography is very effective. But, against the problem of how to rapidly and accurately identify for the defects of specific types needs to be further study. Based on the analysis of the existed classifier for skin damages, a complex group classifier based on lie group machine learning algorithm is introduced...
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