Open Access
Issue
Mechanics & Industry
Volume 14, Number 2, 2013
Page(s) 115 - 120
DOI https://doi.org/10.1051/meca/2013058
Published online 12 June 2013
  1. B. Randall, J. Antoni, Rolling element bearing diagnostics – A tutorial, Mech. Syst. Signal Process. 25 (2011) 485–520 [Google Scholar]
  2. T. Karacay, N. Akturk, Experimental diagnostics of ball bearings using statistical and spectral methods, Tribol. Int. 42 (2009) 836–843 [Google Scholar]
  3. C.T. Yiakopoulos, K.C. Gryllias, I.A. Antoniadis, Rolling element bearing fault detection in industrial environments based on a K-means clustering approach. Expert Systems with Applications 38 (2011) 2888–2911 [Google Scholar]
  4. M. Boumahdi, J.-P. Dron, S. Rechak, O. Cousinard, On the extraction of rules in the identification of bearing defects in rotating machinery using decision tree. Exp. Syst. Appl. 37 (2010) 5887–5894 [Google Scholar]
  5. J.-P. Nakache, J. Confais, Approche pragmatique de la classification: Arbres hiérarchiques, Partitionnements. Editions TECHNIP 2004, p. 17–60 [Google Scholar]
  6. S. Tufféry, Data Mining et statistique décisionnelle: L’intelligence dans les bases de données. Editions TECHNIP 2005, p. 133–171 [Google Scholar]
  7. P.-N. Tan, M. Steinbach, V. Kumar, Introduction to Data Mining, 1st edn. Addison Wesley 2005, p. 487–548 [Google Scholar]
  8. Q. Liu, M. Deng, Y. Shi, J. Wang, A density-based spatial clustering algorithm considering both spatial proximity and attribute similarity. Comput. Geosci. 46 (2012) p. 296–309 [Google Scholar]
  9. Z. Chen, Y.F. Li, Anomaly Detection Based on Enhanced DBScan Algorithm. Procedia Engineering 15 (2011) 178–182 [Google Scholar]
  10. A.E. Brouwer, A.M. Cohen, A. Neumaier, Distance-Regular Graphs. New York, Springer-Verlag 1989, p. 437 [Google Scholar]
  11. J. Antoni, Cyclostationarity by examples, Mech. Syst. Signal Process. 23 (2009) 987–1036 [Google Scholar]
  12. J. Antoni, Cyclic spectral analysis in practice, Mech. Syst. Signal Process. 21 (2007) 597–630 [Google Scholar]

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.