A study, led by Dr. Wentao Huang, overcame a critical gap in five-phase permanent magnet synchronous motor (PMSM) diagnostics: conventional methods fail to assess inter-turn short-circuit (ITSC) severity. The method integrates two technologies: a real-time tracker that diagnoses faults, and an AI analyzer that processes signals to quantify damage while estimating short-circuit parameters.
Motor safety: AI-powered warning system enhances capability to uncover hidden faults
