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A Multi-Layer Approach for Failure Detection in a Manufacturing System Based on Automation Agents

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4 Author(s)
Lepuschitz, W. ; Autom. & Control Inst., Vienna Univ. of Technol., Vienna, Austria ; Jirkovsky, V. ; Kadera, P. ; Vrba, P.

Automatically detecting component failures and unexpected behaviors is an essential service for achieving fault-tolerant robust manufacturing systems. The application of a multi-agent system is regarded as a promising approach for designing complex systems such as manufacturing systems due to its distributed nature. In this paper we present an agent-based control system with diagnostic capabilities on several layers for a pallet transport system. Local diagnostic tasks for detecting failures are performed by the automation agents each controlling one physical component such as a diverter. In order to observe the correct behavior of the components on a system-wide scale, an approach based on Hidden Markov Models linked to the agents is employed.

Published in:

Information Technology: New Generations (ITNG), 2012 Ninth International Conference on

Date of Conference:

16-18 April 2012