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- W2393175051 abstract "Concerning the gap of feature extraction for material defect by adopting infrared thermal wave nondestructive testing technology,a new method of feature extraction for infrared image sequence is put forward on the basis of singular value decomposition(SVD).The research shows that characteristic vector reflects the information of the defects static space and dynamic heat change.On the basis of algebra features of the defects,tectonic feature vector of defects with space-time characteristics is extracted.The analyzing results of the experiment indicate that the application of this method in RBF neural network is verified to be better in effect through feature extracting thermal barrier coating defect type." @default.
- W2393175051 created "2016-06-24" @default.
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- W2393175051 date "2012-01-01" @default.
- W2393175051 modified "2023-09-23" @default.
- W2393175051 title "Research of infrared thermal wave nondestructive testing method based on SVD algorithm" @default.
- W2393175051 hasPublicationYear "2012" @default.
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