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/
• Institution: Universiti Teknologi Malaysia

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...