Intelligent fault detection and diagnostics system on rule-based neural network approach

Modern industrial systems can´t exist without fault detection and diagnostics subsystem. Creation of such subsystem becomes a challenging task. Often it´s more difficult than creation of the rest system´s parts. This paper provides an approach for building fault detection and diagnostics system based on artificial neural networks, automatic training method for such systems and investigates different aspects of this method.