Weiming Shen

A Novel LLM-Enabled Neural Architecture Search Method for Compositional Generalization Fault Diagnosis

Neural architecture search (NAS) is increasingly important for reducing manual trial-and-error in deep fault diagnosis model design. This demand is even more pronounced in system-level compound fault diagnosis, where heterogeneous subsystems, cross-component coupling, and unseen fault compositions make architecture des...

CSPPO: A multi-agent reinforcement learning method for production capacity allocation in manufacturing industry chains