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All issues Volume 9 / No 3 (Mai-Juin 2008) Mécanique & Industries, 9 3 (2008) 205-212 References
Open Access
Issue
Mécanique & Industries
Volume 9, Number 3, Mai-Juin 2008
Page(s) 205 - 212
DOI https://doi.org/10.1051/meca:2008026
Published online 12 July 2008
  1. J.C. Laprie, Guide de la sûreté de fonctionnement, Cépaduès, 1995 [Google Scholar]
  2. R. Isermann, Model-based fault-detection and diagnosis-status and applications, Ann. Rev. Control 29 (2005) 71–85 [Google Scholar]
  3. M. Bartys, R. Patton, M. Syfert, S. Heras, J. Quevedo, Introduction to the damadics actuator fdi benchmark study, Control Eng. Practice 14 (2006) 577–596 [CrossRef] [Google Scholar]
  4. F. Noureddine, Fault tolerance in robots, in AVCS'04, IFAC Genova, 2004 [Google Scholar]
  5. H.B Jun, D. Kiritsis, M. Gambera, P. Xirouchakis, Predictive algorithm to determine the suitable time to change automotive engine oil, Computer Ind. Eng. Elsevier 51 (2006) 671–683 [Google Scholar]
  6. C. Fu, L. Ye, Y. Liu, R. Yu, B. Iung, Y. Cheng, Y. Zeng, Predictive maintenance in intelligent-control-maintenance-management system for hydroelectric generating unit, IEEE Transactions on Energy Conversion 19 (2004) 179–186 [CrossRef] [Google Scholar]
  7. M.C. Garcia, M.A. Sanz-Bobi, J. Del Pico, Simap: System for predictive maintenance-application to the health condition monitoring of a windturbine gearbox, Computers Ind. 57 (2006) 552–568 [CrossRef] [Google Scholar]
  8. M.C. Pan, H.V. Brussel, P. Sas, Intelligent joint fault diagnosis of industrial robots, Mech. Syst. Signal Proc. 12 (1998) 571–588 [CrossRef] [Google Scholar]
  9. E. Gilabert, A. Arnaiz, Intelligent automation systems for predictive maintenance: A case study, Robotics and Computer-integrated Manufacturing 22 (2006) 543–549 [CrossRef] [Google Scholar]
  10. D. Bansal, D.J. Evans, B. Jones, Application of a real-time predictive maintenance system to a production machine system, Int. J. Machine Tools Manufacture 45 (2005) 1210–1221 [CrossRef] [Google Scholar]
  11. D. Bansal, D.J. Evans, B. Jones, Bjest: A reverse algorithm for the real-time predictive maintenance system, Int. J. Machine Tools Manufacture 46 (2006) 1068–1078 [CrossRef] [Google Scholar]
  12. N. Orhan, S. Aktürk, V. Celik, Vibration monitoring for defect of rolling element bearings as a predictive maintenance tool: Comprehensive case studies, NDTE Int. 39 (2006) 293–298 [Google Scholar]
  13. S. Velarde-Suarez, R. Ballesteros-Tajadura, J.P. Hurtado-Cruz, A predictive maintenance procedure using pressure and acceleration signals from a centrifugal fan, Appl. Acoustic 67 (2006) 49–61 [CrossRef] [Google Scholar]
  14. F. Noureddine, Conception d'un outil logiciel graphique pour l'analyse comportementale d'un robot en mode dégradé, Revue Internationale de CFAO et d'Informatique Graphique 11 (1996) 199–214 [Google Scholar]
  15. R.J. Murry, B.F. Mitchell, Cost saving from a practical predictive maintenance program, in Annual Reliability and Maintainability Symposium, 1994, pp. 206–209 [Google Scholar]
  16. M. Crowder, J. Lawless, On a scheme for predictive maintenance, Eur. J. Operational Res. 176 (2007) 1713–1722 [CrossRef] [Google Scholar]
  17. M.C. Eti, S.O.T. Ogaji, S.D. Probert, Reducing the cost of preventive maintenance (pm) through adopting a proactive reliability-focused culture, Applied Energy 83 (2006) 1235–1248 [CrossRef] [Google Scholar]
  18. L.M. Maillart, S.M. Pollock, Cost-optimal condition-monitoring for predictive maintenance of 2-phase systems, IEEE Trans. on Reliability 51 (2002) 322–330 [CrossRef] [Google Scholar]
  19. A. Grall, L. Dieulle, C. Bérenguer, M. Roussignol, Continous-time predictive-maintenance scheduling for a deteriorating system, IEEE Trans. Reliability 51 (2002) 141–150 [CrossRef] [Google Scholar]
  20. M.C. Carnero, Selection of diagnostic techniques and instrumentation in a predictive maintenance program, a case study, Decision Support System 91 (2003) 945–963 [Google Scholar]
  21. M.C. Carnero, An evaluation system of the setting up of predictive maintenance programmes, Reliability Engineering and System Safety, 2006 [Google Scholar]
  22. L.R. Contreras, C. Modi, A. Pennathur, Integrating simulation modeling and equipment condition diagnostics for predictive maintenance strategies, A case study, in Winter Simulation Conference (2002) pp. 1289–1294 [Google Scholar]
  23. L. Lu, J. Jiang, Analysis of on-line maintenance strategies for k-out-of-n standby safety systems, Reliability Engineering and System Safety 92 (2007) 144–155 [CrossRef] [Google Scholar]
  24. X. Zhou, L. Xi, J. Lee, Reliability-centered predictive maintenance scheduling for a continuously monitored system subject to degradation, Reliability Engineering and System Safety 92 (2007) 530–534 [Google Scholar]
  25. Z.S. Abazi, Z. Bouredji, Monitoring and predictive maintenance: Modeling and analyse of fault latency, Comp. Ind. 57 (2006) 504–515 [CrossRef] [Google Scholar]
  26. F. Ly, A.K.A. Toguyeni, E. Craye, Indirect predictive monitoring in flexible manufacturing systems, Robotics and Computer-integrated Manufacturing 16 (2000) 321–338 [CrossRef] [Google Scholar]
  27. D.A. Axinte, R.C. Dewes, Surface integrity of hot work tool steel after high speed milling-experimental data and empirical models, Materials Proc. Tech. 127 (2002) 325–335 [Google Scholar]
  28. S.A. Coker, Y.C. Shin, In-process control of surface roughness with tool wear via ultrasonic sensing, in American Control Conference Washington, 1996 [Google Scholar]
  29. A.M. Alam, R. Chieragatti, M. Akamatsu, Y. Caumel, Effect of machining procedures on the surface state of a low carbon steel, Scr. Mat. 37 (1997) 1559–1567 [CrossRef] [Google Scholar]
  30. R. Noureddine, A. Benamar, F. Noureddine, Intégration d'une technique de maintenance prédictive de l'outil de coupe dans une cellule d'usinage robotisée, in PENTOM 2005, Marrakech, 2005 [Google Scholar]
  31. A. Benamar, G. Inglebert, M. Boumahrat, Durée de vie d'un carbure p20 pour le chariotage d'un acier c38 à rugosité contrôlée, Mécanique & Industries 6 (2005) 635–640 [CrossRef] [EDP Sciences] [Google Scholar]
  32. M. Bouchetara, A. Guermat, K. Belaib, Étude du phénomène d'usure des pièces des pompes d'injection par la méthode taguchi, Mécanique & Industries 4 (2003) 221–228 [CrossRef] [Google Scholar]

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