Open Access
MATEC Web of Conferences
Volume 20, 2015
AVE2014 - 4ième Colloque Analyse Vibratoire Expérimentale / Experimental Vibration Analysis
Article Number 07003
Number of page(s) 9
Section Vibration-based condition monitoring
Published online 27 January 2015
  1. C.I. Ugechi, E. Ogbonnaya, M. Lilly, S. Ogaji and S. Probert, Condition-Based Diagnostic Approach for Predicting the Maintenance equirements of Machinery. Engineering, 1 No. 3, pp. 177–187 (2009)
  2. R. Chaib, Contribution à l'optimisation de la maintenance conditionnelle par l'analyse vibratoire. These, University of Mentouri-Constantine, Algérie (2006)
  3. A. Garg and S. Deshmukh, Maintenance management: literature review and directions. Journal of Quality in Maintenance Engineering, 12(3), pp. 205–238 (2006) [CrossRef]
  4. S. Belhour, Contribution à l'optimisation de la maintenance prédictive Par l'utilisation du logiciel Omnitrend (systeme on line) cas : Cimenterie Hamma Bouziane. These, University of Mentouri-Constantine, Algérie(2008)
  5. A. Boulenger and C. Pachaud, Analyse vibratoire en maintenance - Surveillance et diagnostic des machines, Dunod, Paris (2007)
  6. S. Nakajima, Introduction to TPM: Total Productive Maintenance. Cambridge, Productivity Press (1988)
  7. G. Chand and B. Shirvani, Implementation of TPM in Cellular Manufacture. Journal of Materials Processing Technology, 103(1), pp. 149–154 (2000) [CrossRef]
  8. G. Cigolini and F. Turco, Total Productive Maintenance Practices: A Survey in Italy. Journal of Quality in Maintenance Engineering, 3(4), pp. 259–272 (1997) [CrossRef]
  9. F. Cooke, Implementing TPM in Plant Maintenance: Some Organisational Barriers. International Journal of Quality & Reliability Management, 17(9), pp. 1003–1016 (2000) [CrossRef]
  10. M. Eti, S. Ogaji and S. Probert, Implementing Total Productive Maintenance in Nigerian Manufacturing Industries. Applied Energy, 79(4), pp. 385–401 (2004)
  11. H. Sun, R. Yam and N. Wai-Keung, The Implementation and Evaluation of Total Productive Maintenance (TPM) – An Action Case Study in a Hong Kong Manufacturing Company. International Journal of Advanced Manufacturing Technology, 22(3-4), pp. 224–228 (2003) [CrossRef]
  12. A. Tsang and P. Chan, TPM Implementation In China: A Case Study. International, Journal of Quality & Reliability Management, 17(2), pp. 144–157 (2000) [CrossRef]
  13. R. Overman, RCM, Condition Monitoring, or Both. Maintenance Technology, pp. 25–28 (2002)
  14. J. Moubray, Reliability Centered Maintenance – RCM II (2nd edition), Industrial Press, New York (1997)
  15. G. Zwingelstein, La maintenance basée sur la fiabilité, Guide pratique d'application de la RMC, Editions HERMES, Paris (1996)
  16. M. Bengtsson, On condition based maintenance and its implementation in industrial setting. These, Mälardalen university, Suède (2007)
  17. J. Veldman, Process Improvement for Engineering and Maintenance Contractors. These, University of Groningen, The Netherlands (2011)
  18. J. Courrech and R.L. Eshleman, Condition monitoring of machinery. Fifth, New York (2002)
  19. E.M. Semma, A. Mousrij, A. Echchatbi and H. Gziri, Evaluation de la mise en œuvre de la maintenance conditionnelle basée sur l'analyse vibratoire : Etude de cas. Workshop Optimisation des Systèmes, Amélioration Continue et Transformation des Entreprises. Marrakech – Maroc (2013)
  20. C.H. Russon, O. James, P. Bufferne, D. Mullender and D. Giguere, DCA stratégie mode d'emploi version 10.0. IFEAS - Editions Scientifiques & Techniques, Paris (2010)
  21. H. Stadhouders, A Framework for implementing Condition Based Maintenance based on Operational Data. These, Eindhoven University of Technology, Netherlands (2011)
  22. G. Laloux, Management de la maintenance selon l'ISO 9001: 2008, AFNOR, France (2009)

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.