INCREMENTAL FAULT DIAGNOSIS METHOD BASED ON METRIC FEATURE DISTILLATION AND IMPROVED SAMPLE MEMORY

Incremental learning-based fault diagnosis systems (IFD) are widely used because of their ability to handle constantly updated fault data and types.However, the catastrophic forgetting problem remains the most crucial contemporary challenge facing IFD.This paper proposes an incremental fault diagnosis method based on metric feature distillation (MF

The EcoCyc database is an online scientific database which provides an integrated view of the metabolic and regulatory Teleskopstange network of the bacterium Escherichia coli K-12 and facilitates computational exploration of this important model organism.We have analysed the occurrence of dead end metabolites within the database--these are metabol