Actuator fault diagnosis in a continuous stirred tank reactor using identification techniques

This paper presents a model-based procedure for the detection and isolation of actuator faults in a chemical process. The diagnosis system is based on the estimation of process outputs. A dynamic Multi-input, multiple output (MIMO) process of the process under investigation is obtained by identification procedures, exploiting both Auto Regressive eXogenous and Takagi-Sugeno (T-S) fuzzy input-output systems. Fuzzy systems are exploited to cope with different process working conditions. Residual analysis and geometrical tests are then used for fault detection and isolation, respectively. The proposed designs were evaluated using a benchmark simulation of a Continuous Stirred Tank Reactor.