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IJCNN
2007
IEEE

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

11 years 11 months ago
Faults Detection and Isolation Based On Neural Networks Applied to a Levels Control System
Abstract— 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 networks (ANN) and tested in real environment.
Raphaela G. Fernandes, Diego R. Cabral Silva, Luiz
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where IJCNN
Authors Raphaela G. Fernandes, Diego R. Cabral Silva, Luiz A. H. de Oliveira, Adrião Duarte Dória Neto
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