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A Deep Lifelong Learning Method for Digital Twin-Driven Defect Recognition With Novel Classes
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Recently, digital twins (DTs) have become a research hotspot in smart manufacturing, and using DTs to assist defect recognition has also become a development trend. Real-time data collection is one of the advantages of ...