A digital twin-enhanced deep metric learning framework for few-shot combustion fault diagnosis in marine diesel engines
Combustion fault diagnosis in marine diesel engines is hindered by scarce labeled fault samples, feature drift under variable operating conditions, and cross-condition distribution shifts. This paper proposes a digital twin (DT)-enhanced deep metric learning framework for few-shot combustion fault diagnosis. A 0D/1D th...