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Learn about an innovative AI solution for automated evaluation of non-destructive testing (IRIS) in plant heat exchangers through this conference presentation from SK AI SUMMIT 2024. Explore how artificial intelligence addresses the growing inspection demands of aging industrial plant heat exchangers, particularly focusing on the IRIS inspection method used for detecting defects in heat transfer tubes. Discover how AI technology overcomes current limitations of traditional inspection methods that rely heavily on aging signal evaluation experts' experience and intuition. Understand the development of solutions that improve inspection accuracy through image restoration, noise reduction, and supervised learning-based object detection models. Follow the implementation process including data preprocessing, automatic defect detection model development, tube wall thinning prediction model development, user software development, and solution enhancement through verification testing. Gain insights from SK Energy's Smart Plant Team PM Kang-seok Kim, an expert in Enterprise Asset Management and Inspection Data Management Systems, as he shares practical knowledge and recommendations for AI applications in manufacturing industries.
