Improved Batch Process Monitoring and Diagnosis Based on Multiphase KECA
Improved Batch Process Monitoring and Diagnosis Based on Multiphase KECA is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include division, kernel, data mining, batch processing, artificial intelligence, comminution, plot, Entropy, similarity, computer science, process, model predictive control, fault detection and isolation, nonlinear system, pattern recognition, and algorithm. By establishing a series of KECA models for transitions and steady phases, it reflects the diversity of transitional characteristics objectively and can preferably solve the stage-transition monitoring problem in multistage batch processes.