Contribution to the Monitoring of an Automated Production System by Hybrid Interpreted Petri Nets
Rochdi Kerkeni1, Anis Mhalla2, Kais Bouzrara3
1Rochdi Kerkeni, Research Unit LARATSI Automatic Signal and Image Processing National Engineering School of Monastir, Monastir, Tunisia.
2Anis Mhalla, Research Unit LA.R.A Automatique National Engineering School of Tunis (ENIT), Tunis, Tunisia.
3Kais Bouzrara, Research Unit LARATSI Automatic Signal and Image Processing National Engineering School of Monastir, Tunisia.
Manuscript received on 18 February 2019 | Revised Manuscript received on 27 February 2019 | Manuscript published on 28 February 2019 | PP: 220-223 | Volume-8 Issue-3, February 2019 | Retrieval Number: C579602831919/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This article proposes the establishment of monitoring and diagnosis tools in order to implement an automated system. The purpose of monitoring task is to preserve the production equipments quality and personnel safety. The study proposed in this paper consists in developing algorithms, based on Hybrid Signal Interpreted Petri Nets (HSIPN) for monitoring the quality of bobbins obtained by a winding machine. This monitoring approach is integrated into maintenance decision process.
Keywords: Monitoring, Interpreted Petri Nets, Wires Quality, Plc, Coils Shape
Scope of the Article: Production Perspectives