Fault detection and isolation in industrial control valve based on artificial neural networks diagnosis
The industrial systems become more complex in our days; the increasing complexity explains the need for a monitoring system performance, safe and reliable. This need for security and reliability requires the implementation of preferment diagnostic systems to report any malfunction in this industrial processes. In this paper, we develop a supervision system based on artificial neural networks approach to generate defects indicators for our examined industrial control valve.