Zenodo (CERN European Organization for Nuclear Research) • Vol 9 • No 12
Dynamic Fault Diagnosis For Semi-Batch Reactor Under Closed-Loop Control Via Independent Radial Basis Function Neural Network
November 2015 • Abdelkarim M. Ertiame, D.W. Yu, Dehai Yu, J.B. Gomm
In this paper, a robust fault detection and isolation (FDI) scheme is developed to monitor a multivariable nonlinear chemical process called the Chylla-Haase polymerization reactor, when it is under the cascade PI control. The scheme employs a radial basis function neural network (RBFNN) in an independent mode to model the process dynamics, and using the weighted sum-squared prediction error as the residual. The Recursive Orthogonal Least Squares algorithm (ROLS) is employed to train the model to overcome the trai…