ALAGA-RBF for Fault Diagnosis in a Continuous Tubular Reactor

The aim is to study a continuous chemical process and model it, then analyze the hold process of the reactor and build a system which could be trained to judge the interior parameters of the process. To the diagnosis methods, the work presented herein deals with the model-based approach several methods, mainly the RBF network based on ALAGA (Genetic Algorithm with Adaptive Local Adjustment). An experimental system has been built to be the research base. That includes experiment part and record system. Temperature sensors and conductivity sensors are used to detect the data.