Robust Dynamic Fault Detection and Diagnosis of Industrial Alkaline Water Electrolyzer Process using Variational Bayesian Dictionary Learning

A robust dynamic variational Bayesian dictionary learning (RDVDL) approach is proposed to efficiently detect and diagnose critical faults in the industrial alkaline water electrolysis (AWE) hydrogen production process.