Multichannel Partially Observed Functional Modeling for Defect Classification with Imbalanced Dataset via Deep Metric Learning

A novel framework called "Multichannel Partially Observed Functional Modeling for Defect Classification with an Imbalanced Dataset" (MPOFI) is proposed to accurately classify defect types in threaded pipe connections based on imbalanced, multichannel, and partially observed functional data from sensor signals.