Abnormality Management in Industrial Automation Systems
M. Bordasch, N. Jazdi, and P. Göhner
Institute of Industrial Automation and Software Engineering, Stuttgart, Germany
Abstract—In this paper, a new concept for fault prevention in present and future industrial automation systems is presented. The aim of fault prevention is the identification of fault development processes while a system is still faultless. These processes can be difficult because they are only based on the past and the current system behaviour and the effects may not be visible yet. In order to countervail these problems, an abnormality management approach was developed to identify abnormalities in fault development processes. By means of this information, the same or systems of the same structure can be checked for these abnormalities in the future. Hence, the occurrence of faults can be prevented, the system availability can be increased and the costs can be reduced. Nowadays, the availability of systems are increasingly essential because a high productivity is needed for companies to remain competitive.
Index Terms—abnormality management, fault prevention, abnormality identification, abnormality inspection
Cite: M. Bordasch, N. Jazdi, and P. Göhner, "Abnormality Management in Industrial Automation Systems," Jounal of Automation and Control Engineering, Vol. 4, No. 4, pp. 295-299, August, 2016. doi: 10.18178/joace.4.4.295-299
Index Terms—abnormality management, fault prevention, abnormality identification, abnormality inspection
Cite: M. Bordasch, N. Jazdi, and P. Göhner, "Abnormality Management in Industrial Automation Systems," Jounal of Automation and Control Engineering, Vol. 4, No. 4, pp. 295-299, August, 2016. doi: 10.18178/joace.4.4.295-299