Defect depth estimation in passive thermography using neural network paradigm

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Defect depth estimation in passive thermography using neural network paradigm

Defect depth estimation from passive thermography data based on neural network paradigm is proposed. Three parameters have been found to be related with depth of the defect. Therefore, these parameters: the maximum temperature over the defective area (T-max), the temperature on the non-defective or...

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Bibliographic Details
Main Authors:	Heriansyah, Rudi, Syed Abu Bakar, Syed Abdul Rahman
Format:	Conference or Workshop Item
Published:	2007
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/8628/

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