Diagnostic by Fault Tree and Petri Nets of a Robotic Machining Cell

Authors

  • Z. Mehar Production and Maintenance Engineering Laboratory
  • R. Noureddine Production and Maintenance Engineering Laboratory
  • F. Noureddine Production Engineering Laboratory

Keywords:

Diagnostic, Robotisation, FT, PN, LabView.

Abstract

The objective of this work is to propose a diagnostic technical method for robot cell machining. The developed approach is based on a hybrid diagnostic FT-PN (Fault Tree - Petri Nets). This technique consists of the Petri Nets implementation in the LabView environment (Laboratory Virtual Instrument Engineering Workbench), based on the knowledge of the Fault Tree of the robot cell. The simulations and results are obtained from the state of the operating system without and with fault are presented and discussed.

Author Biographies

Z. Mehar, Production and Maintenance Engineering Laboratory

Production and Maintenance Engineering Laboratory, Institute of Maintenance and Industrial Security, University of Oran 2 Mohamed Ben Ahmed, B.P 1015 El M’naouer,Oran, 31000, Algeria

R. Noureddine, Production and Maintenance Engineering Laboratory

Production and Maintenance Engineering Laboratory, Institute of Maintenance and Industrial Security, University of Oran 2 Mohamed Ben Ahmed, B.P 1015 El M’naouer,Oran, 31000, Algeria

F. Noureddine, Production Engineering Laboratory

Production Engineering Laboratory, National School of Engineering in Tarbes, National Polytechnic Institute of Toulouse, 47 avenue d’Azereix- BP 1629 - 65016 Tarbes CEDEX, France

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Published

09/29/2022

Issue

Vol. 6 No. 1 (2022): Volume 6 Issue 1

Section

Articles