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 [CrossRef] [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 [CrossRef] [Google Scholar]

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