Abstract: A defective component in an industrial automation system affects only a limited number of sub functions. However, the affected sub functions often lead to break down of the whole system. The goal of this paper is to propose an intelligent agents-based concept for a Problem Management System (IAPMS) to enhance the reliability of industrial automation systems by resolving not only the known problems but also the unknown problems. In this paper, six types of component agents represent all the necessary components of an industrial automation system and a coordination agent type orchestrates the coordination between the component agents. The component agents detect the defective component by using the existing diagnosis system. On one hand, the component agents and the coordination agent could solve the known problems by using the pre-set measures. On the other hand, since no measures for an unknown problem exist, the corresponding component agents negotiate with the coordination agent to keep the unaffected sub functions alive; hence the system can be further used.

Keywords: reliability, intelligent component agent, Problem Management System, unknown problems

ACM Classification Keywords: I.2 Artificial Intelligence – I.2.1 Applications and Expert Systems – Industrial automation

Link:

AN AGENT-BASED CONCEPT FOR PROBLEM MANAGEMENT SYSTEMS TO ENHANCE RELIABILITY

Huiqiang Wang, Nasser Jazdi, Peter Goehner

http://www.foibg.com/ijicp/vol01/ijicp01-04-p06.pdf