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The Path to NDE 4.0: A Review of Algorithms, Techniques, and Strategies for Autonomous Inspection
Author1, Author2, Author3, Author4, Author5
deep learningautonomous inspectionexplainable AIdigital twin
2610.31704
Builder Relevance
1h ago80%
Abstract
This paper reviews the evolution of Non-Destructive Inspection (NDI) towards a digitized, data-centric paradigm known as NDE 4.0, highlighting advancements in algorithms and techniques.
Reality Card
Core Claim
The paper identifies a significant shift towards deep learning and generative models for automated defect recognition in NDI.
Method / Result
The review synthesizes a broad range of literature, illustrating the transition from manual to automated inspection techniques.
Limitations
The scarcity of standardized open-access datasets and the 'black box' nature of AI models hinder widespread adoption.
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