Bi-directional digital twin prototype anchoring with multi-periodicity learning for few-shot fault diagnosis

Bi-directional digital twin prototype anchoring with multi-periodicity learning for few-shot fault diagnosis explores A bi-directional digital twin prototype anchoring method with multi-periodicity learning enables few-shot fault diagnosis for industrial machinery, leveraging simulation data and test-time adaptation.. Commercial viability score: 7/10 in Industrial AI.