Abstract
This chapter proposes a framework for mechatronic systems reliability assessment at early stage of the design process. The approach provides to designers the product reliability indicator by using a semantic model that includes data related to its components characteristics and to their interactions. We focus on complex mechatronic systems consisting of sub-systems made of mechanical components, electronic devices and software modules. The paper presents two main problems to face for assessing complex products reliability: what decomposition strategy to use and how to estimate the components reliability. Then we estimate the product global reliability by considering separately mechanical components, electronic devices and the software. To test the approach, an application is outlined to estimate the reliability of a hard disk.
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References
Ohring, M., Lloyd, J.R. (2010) Reliability and Failure of Electronic Materials and Devices. Elsevier Science & Technology Books, Oxford, ISBN: 0120885743.
MIL-HDBK-217, the Military Handbook for “Reliability Prediction of Electronic Equipment” http://www.sqconline.com/download/
Relex Reliability and Maintainability Prediction (2006) http://www.relex.com
Item Software for Mechanical components NSWC 98 Standard (2006) http://www.itemuk.com
Roy, G.R., Weckman, R.L., Shell, J.H. (June 2001) Marvel modeling the reliability of repairable systems in the aviation industry. Computers & Industrial Engineering, 40(1–2):51–63.
Coulibaly, A., Mutel, B., Ait-Kadi, D. (2007) Product modelling framework for behavioural performance evaluation at design stage. Computers in Industry, 58:567–577, http://www.sciencedirect.com
OREDA (Offshore Reliability Data) (2009) http://www.sintef.no/static/tl/projects/oreda/
NPRD-95 (Non electronic Parts Reliability) (1995) http://www.itemsoft.com/nonelec.html
Tsai, C.-C., Lin, S.-C., Huang, H.-C., Cheng, Y.-M. (2009) Design and control of a brushless DC limited-angle torque motor with its application to fuel control of small-scale gas turbine engines. Mechatronics, 19:29–41.
Lyonnet, P., Toscano, R., Maisonneuve, P.L., Lanternier, B. (2006) Modélisation de la fiabilité des macro-composants mécaniques à partir de modèles mathématiques et de réseaux de neurones, comparaisons des méthodes. Proceedings of 24th Machinery Vibration, Reliability and Maintenance, 25-27 Oct. 2006, Montréal, CMVA.
Cottet, F. (2001) LabVIEW: Programmation et applications. Ed. Dunod, ISBN 2-10-005667-0.
Zwingmann, X., AitKadi, D., Coulibaly, A., Mutel, B. (2008) Optimal disassembly sequencing strategy using constraint programming approach. Journal of Quality in Maintenance Engineering, 14(1):46–58, http://www.emeraldinsight.com/10.1108/13552510810861932
Naval Surface Warfare Center (NSWC), NSWC-98/LE1 (1998) Handbook of Reliability Prediction Procedures for Mechanical Equipment. Naval Surface Warfare Center, Washington, DC.
Le Guen, H. (2005) Validation d’un logiciel par le test statistique d’usage: de la Modélisation à la décision de livraison. Thèse de Doctorat de l’Université de Rennes 1, soutenue le 15 juin 2005.
Ledoux, J. (1993) Modèles Markoviens: sur la caractérisation de l’agrégation faible et sur les modèles structurels pour l’évaluation de la sûreté de fonctionnement du logiciel. PhD thesis, Université de Rennes I, Décembre 1993.
Bourhfir, C., Dssouli, R., Aboulhamid, E., Rico, N. (1997) Automatic executable test case generation for extended finite state machine protocols. In IFIP WG 6.1 International Workshop on Testing of Communicating Systems, pp. 75–90, Cheju Island, Korea.
Military Standard – 1629A (1980) Procedures for Performing a Failure Mode, Effects and Criticality Analysis. U.S. Department of Defence, Washington, DC.
Military Handbook – 338B (1998) Electronic Reliability Design Handbook, US Department of Defense, Washington, DC.
NSWC-07 (2007) Handbook of Reliability Prediction Procedures for Mechanical Equipment. Naval Surface Warfare Center, Washington, DC.
Noel, M.F. (2006) A dynamic multi-view product model to share product behaviours among designers: How process model adds semantic to the behavior paradigm. International Journal of Product Lifecycle Management, 1(4):380–390.
Coulibaly, A., Houssin, R., Mutel, B. (2008) Maintainability and safety indicators at design stage for mechanical products. Computers in Industry, 59(5):438–449, http://dx.doi.org/10.1016/j.compind.2007.12.006
Rivoire, M., Ferrier, J.-L. (2001) Matlab, Simulink, Stateflow avec des exercices d’automatique résolus. Ed. Technip, Paris, ISBN 2-7108-0789-0.
Campbell, S.L., Chancelier, J.-P., Nikoukhah, R. (2000) Modeling and Simulation in Scilab/Scicos. Springer, Heidelberg, ISBN 10:0-387-27802-8.
Sumathi, S., Surekha, P. (2007) LabVIEW Based Advanced Instrumentation Systems. Ed. Springer, Heidelberg, ISBN 978-3-540-48500-1.
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Coulibaly, A., Ostrosi, E. (2011). A Framework for Assessing the Reliability of Mechatronic Systems. In: Bernard, A. (eds) Global Product Development. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15973-2_66
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DOI: https://doi.org/10.1007/978-3-642-15973-2_66
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