Objective Ultrasonic Characterization of Welding Defects Using Physically Based Pattern Recognition Techniques
Computer-based methods for analysing ultrasonic data to distinguish between different defect types have been based on a variety of techniques such as adaptive learning , artificial intelligence  and statistical pattern recognition . The uncertain classification reliability of these techniques when applied to a range of realistic defect types has, however, often been a significant practical limitation to their use.
KeywordsDefect Type Planar Defect Statistical Pattern Recognition Inspection Technique Defect Class
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