Blucher Engineering Proceedings

Agosto 2018, vol.5, num.1 - XXVI Simpósio Internacional de Engenharia Automotiva
Artigo - Open Access Idioma principal | Segundo principal

PROPOSAL OF FAULT CHARACTERIZATION IN AUTOMOTIVE FLEXIBLE MANUFACTURING SYSTEMS (FMS)

PROPOSAL OF FAULT CHARACTERIZATION IN AUTOMOTIVE FLEXIBLE MANUFACTURING SYSTEMS (FMS)

Padilha, André José de Queiroz; Silva, Gabriela Ventura; Silva, Guilherme Canuto da; Kaminski, Paulo Carlos

Artigo:

Flexible manufacturing systems (FMS) have a high degree of automation, complexity and flexibility, making it possible to manufacture multiple models of products within the same manufacturing cell with few layout changes. In this environment, intermittent and/or random faults are caused by various agents. Consequences of such faults could vary from short production downtime to irreversible loss of planned volumes. Although there are several methods to identify modes of failures and the corresponding criticality, no methods were found to characterize faults with respect to its nature. The importance of such characterization range from manufacturing design to root cause identification. This paper proposes a procedure to characterize faults in FMS. The work is divided in an introduction, four sections and a conclusion. In section one the methodology is presented. In section two the theoretical background is developed. Section three presents results of a survey applied to collect data about the importance and understanding of the topic. In section four the procedure is described. Finally, the 
conclusions are presented as well as recommendations for future studies.

Flexible manufacturing systems (FMS) have a high degree of automation, complexity and flexibility, making it possible to manufacture multiple models of products within the same manufacturing cell with few layout changes. In this environment, intermittent and/or random faults are caused by various agents. Consequences of such faults could vary from short production downtime to irreversible loss of planned volumes. Although there are several methods to identify modes of failures and the corresponding criticality, no methods were found to characterize faults with respect to its nature. The importance of such characterization range from manufacturing design to root cause identification. This paper proposes a procedure to characterize faults in FMS. The work is divided in an introduction, four sections and a conclusion. In section one the methodology is presented. In section two the theoretical background is developed. Section three presents results of a survey applied to collect data about the importance and understanding of the topic. In section four the procedure is described. Finally, the 
conclusions are presented as well as recommendations for future studies.

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DOI: 10.5151/simea2018-PAP44

Referências bibliográficas
  • [1] BAS¸ AK, O¨ zkan; ALBAYRAK, Y. Esra. Petri net based decision system modeling in real-time scheduling and control of flexible automotive manufacturing systems. Computers & Industrial Engineering, v. 86, p. 116–126, 2015. [2] SEYBOLD, Lothar; WITCZAK, Marcin; MAJDZIK, Paweł; STETTER, Ralf. Predictive fault-tolerant control for a battery assembly system. IFAC-PapersOnLine, v. 28, n. 21, p. 476–483, 2015. [3] CAPRIHAN, Rahul; KUMAR, Ashok; STECKE, Kathryn E. Evaluation of the impact of information delays on flexible manufacturing systems performance in dynamic scheduling environments. The International Journal of Advanced Manufacturing Technology, v. 67, n. 1-4, p. 311–338, 2013. [4] HU, W; STARR, A.G.; ZHOU, Z; LEUNG, A.Y.T. A systematic approach to integrated fault diagnosis of flexible manufacturing systems. International Journal of Machine Tools and Manufacture, v. 40, n. 11, p. 1587–1602, set. 2000. [5] ZAYTOON, J; LAFORTUNE, S. Overview of fault diagnosis methods for Discrete Event Systems. Annual Reviews in Control, v. 37, n. 2, p. 308–320, 2013. [6] MIYAGI, P. E.; RIASCOS, L. A M. Modeling and analysis of fault-tolerant systems for machining operations based on Petri nets. Control Engineering Practice, v. 14, n. 4, p. 397–408, 2006. [7] FERNANDO, Heshan; SURGENOR, Brian. An unsupervised artificial neural network versus a rule-based approach for fault detection and identification in an automated assembly machine. Robotics and Computer-Integrated Manufacturing, v. 43, p. 79–88, 2017. [8] RAUSAND, Marvin. Reliability of Safety-Critical Systems. Hoboken, NJ, USA: John Wiley & Sons, Inc., jan. 2014. [9] KESKI-VALKAMA, Tero. A Simulator for Event-oriented Data in Flexible Assembly System Fault Prediction. Procedia Computer Science, v. 119, n. 2017, p. 121–130, 2017.
Como citar:

Padilha, André José de Queiroz; Silva, Gabriela Ventura; Silva, Guilherme Canuto da; Kaminski, Paulo Carlos; "PROPOSAL OF FAULT CHARACTERIZATION IN AUTOMOTIVE FLEXIBLE MANUFACTURING SYSTEMS (FMS)", p-279-298. In: . São Paulo: Blucher, 2018.
ISSN 23577592, DOI 10.5151/simea2018-PAP44

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