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.