A neuro-fuzzy monitoring system. Application to flexible production systems

N. Palluat, D. Racoceanu, N. Zerhouni

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

The multiple reconfiguration and the complexity of the modern production system lead to design intelligent monitoring aid systems. Accordingly, the use of neuro-fuzzy technics seems very promising. In this paper, we propose a new monitoring aid system composed by a dynamic neural network detection tool and a neuro-fuzzy diagnosis tool. Learning capabilities due to the neural structure permit us to update the monitoring aid system. The neuro-fuzzy network provides an abductive diagnosis. Moreover it takes into account the uncertainties on the maintenance knowledge by giving a fuzzy characterization of each cause. At the end, we illustrate the industrial usefulness of the proposed dynamic neuro-fuzzy monitoring system trough a flexible production system monitoring application.

Original languageEnglish
Pages (from-to)528-538
Number of pages11
JournalComputers in Industry
Volume57
Issue number6
DOIs
StatePublished - Aug 2006
Externally publishedYes

Keywords

  • CMMS
  • Diagnosis
  • Fault Tree
  • FMECA
  • Maintenance
  • Monitoring
  • Neural network
  • Neuro-fuzzy
  • SCADA
  • UML

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