Defect depth estimation in passive thermography using neural network paradigm

• 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/id/eprint/8628/

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...