Employing Agent Beliefs during Fault Diagnosis for IEC 61499 Industrial Cyber-Physical Systems

TL;DR

This paper explores how software agents using domain knowledge and belief structures can improve fault diagnosis in IEC 61499 industrial cyber-physical systems, enhancing reliability and safety.

Contribution

It introduces three belief structures within a multi-agent framework for fault diagnosis, leveraging IEC 61499 architecture for improved reasoning.

Findings

Demonstrated three belief structures supporting fault reasoning

Agents effectively evaluate components and subsystems

Improved fault identification accuracy

Abstract

We have come to rely on industrial-scale cyber-physical systems more and more to manage tasks and machinery in safety-critical situations. Efficient, reliable fault identification and management has become a critical factor in the design of these increasingly sophisticated and complex devices. Teams of co-operating software agents are one way to coordinate the flow of diagnostic information gathered during fault-finding. By wielding domain knowledge of the software architecture used to construct the system, agents build and refine their beliefs about the location and root cause of faults. This paper examines how agents constructed within the GORITE Multi-Agent Framework create and refine their beliefs. We demonstrate three different belief structures implemented within our Fault Diagnostic Engine, showing how each supports a distinct aspect of the agent's reasoning. Using domain knowledge of the IEC 61499 Function Block architecture, agents are able to examine and rigorously evaluate both individual components and entire subsystems.