Application of a real-time expert system for fault diagnosis

  • Authors:
  • Chriss Angeli

  • Affiliations:
  • -

  • Venue:
  • IEA/AIE '00 Proceedings of the 13th international conference on Industrial and engineering applications of artificial intelligence and expert systems: Intelligent problem solving: methodologies and approaches
  • Year:
  • 2000

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Abstract

Fault diagnosis is an increasing important research topic and a lot of approaches have been investigating for the intelligent on-line diagnostic task. This work demonstrates the implementation of real-time expert systems technology for diagnostic purposes in hydraulic systems. A knowledge-based system is developed that in combination with sensor measurements is able to diagnose real-time faults. The system was developed in collaboration with a company which specialises in hydraulic systems and is used for industrial automated processes.