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Marcos V. Moreira
COPPE - Electrical Engineering Program, Universidade Federal do Rio de Janeiro, Rio de Janeiro, 21.945-970, RJ
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Anna C. Araujo
Institut Clément Ader (ICA), Université de Toulouse, CNRS/INSA/ISAE/Mines Albi/UPS, Toulouse
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Yann Landon
Institut Clément Ader (ICA), Université de Toulouse, CNRS/INSA/ISAE/Mines Albi/UPS, Toulouse
Keywords:
Industry 4.0, Fault diagnosis, Discrete-event systems, CNC machine, Identification
Abstract
In this paper, we propose a fault diagnoser for the drilling process on a CNC machine. The fault diagnoser uses only the spindle power and Z axis displacement read directly from the system controller, and does not need any additional sensors. The proposed diagnoser is capable of identifying the occurrence of a wrong sequence of events executed by the system and the use of a material different from the expected.
