Faults Detection and Isolation Based On Neural Networks Applied to a Levels Control System

Each time more grows the necessity of guaranteeing itself security and trustworthiness of the equipment during the execution of the industrials processes. Then, it is very important that faults in the processes can be detected and isolated. This paper presents an approach to process fault detection and isolation (FDI) system applied to a levels control system connected with an industrial network Foundation Fieldbus. The FDI system was developed using artificial neural networksfi (ANN) and tested in real environment.