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M. Merdan, W. Lepuschitz, B. Sahovic, M. Vallee:
"Failure Detection and Recovery in the Batch Process Automation Domain using Automation Agents";
Talk: ACT Advances in Computing, Control and Telecommunication Technologies, Jakarta, Indonesia; 12-02-2010 - 12-03-2010; in: "2010 Second International Conference on Advances in Computing, Control and Telecommunication Technologies", (2010), 113 - 117.

The process industry needs to cope with permanently
changing environments where sudden component failures can
significantly influence the system performance if not treated in an
appropriate amount of time. Agent-based manufacturing control
systems are recognized as a promising technology that can handle
such anomalies. However, current agent approaches are lacking
real-time capabilities and solutions that support distribution and
agility. We address this issue by introducing an automation agent
architecture that consists of the low level control layer, which is
based on IEC 61499 and responsible for directly controlling the
physical component, as well as of the high level control layer
which includes a world model repository and is responsible for
organizational and supervisory functions. The world model
serves as an accurate internal representation of the agent´s
external environment and is used to detect anomalies in the
environment. In this paper we present the monitoring and
diagnostics abilities of the introduced automation agent
architecture within the batch process domain.

Automation Agent, Batch Process, Anomalies, Diagnostic, Ontology