Abnormal condition identification modeling based on fuzzy Bayesian network and transfer learning

Abstract

The abnormal condition identification model is established based on the fuzzy Bayesian network and transfer learning for the electro-fused magnesia smelting process in this paper. The data processing problem is analyzed during the process of modeling and reasoning. The proposed method owns the better performance, which lays the better foundation for making effective safe control decisions.