Ontology Mapping Approach for Fault Classification in Multi-Agent Systems

Abstract One of the most important abilities of control systems is diagnostics. The ability to detect faults, to explain them to an operator, and possibly also to propose and execute a recovery is an important feature of an advanced control system. We present ontology mapping approach for error classification in this paper, with the focus on multi-agent systems. Fault descriptions are kept in global error ontology which facilitates reusability of this approach as well as easier maintenance. The fault classification method utilizes HMM-based diagnostic system for automatic fault detection and offers effective and easy option of describing faults and inferring non-trivial dependencies using reasoning. The fault classification system is demonstrated on a testing example of automobile camshafts process.

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