Study on Machine Learning Based Automatic Defect Detection in Non Stationary Thermal Wave Imaging

Posted on January 8, 2021January 8, 2021Categories engineeringTags , ,   Leave a comment on Study on Machine Learning Based Automatic Defect Detection in Non Stationary Thermal Wave Imaging

Machine learning is a branch of Artificial Intelligence that is used effectively and reliably to determine the solution to a problem. In deciding on the intensity of artefacts for different industrial applications, identification of subsurface non-uniformity is essential. In order to detect anomalies in a wide variety of materials, non-stationary thermal wave imaging is emerging as a reliable qualitative evaluation technique. This paper proposes a classification modality based on supervised machine learning to detect subsurface defects using modulated quadratic frequency. … Continue reading “Study on Machine Learning Based Automatic Defect Detection in Non Stationary Thermal Wave Imaging”