Articles citing this article

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Cited article:

Fault diagnosis of rolling bearings in non-stationary running conditions using improved CEEMDAN and multivariate denoising based on wavelet and principal component analyses

Lilia Chaabi, Ahcene Lemzadmi, Abderrazek Djebala, Mohamed Lamine Bouhalais and Nouredine Ouelaa
The International Journal of Advanced Manufacturing Technology 107 (9-10) 3859 (2020)
https://doi.org/10.1007/s00170-020-05311-z

Rolling bearing faults severity classification using a combined approach based on multi-scales principal component analysis and fuzzy technique

Mohamed Khemissi Babouri, Abderrazek Djebala, Nouredine Ouelaa, Brahim Oudjani and Ramdane Younes
The International Journal of Advanced Manufacturing Technology 107 (9-10) 4301 (2020)
https://doi.org/10.1007/s00170-020-05342-6

Application of the cyclostationarity analysis in the detection of mechanical defects: comparative study

Mohamed Khemissi Babouri, Nouredine Ouelaa, Tarek Kebabsa and Abderrazek Djebala
The International Journal of Advanced Manufacturing Technology 103 (5-8) 1681 (2019)
https://doi.org/10.1007/s00170-019-03652-y

Experimental study of tool life transition and wear monitoring in turning operation using a hybrid method based on wavelet multi-resolution analysis and empirical mode decomposition

Mohamed Khemissi Babouri, Nouredine Ouelaa and Abderrazek Djebala
The International Journal of Advanced Manufacturing Technology 82 (9-12) 2017 (2016)
https://doi.org/10.1007/s00170-015-7530-3

Application of the Wavelet Multi-resolution Analysis and Hilbert transform for the prediction of gear tooth defects

A. Djebala, N. Ouelaa, C. Benchaabane and D. F. Laefer
Meccanica 47 (7) 1601 (2012)
https://doi.org/10.1007/s11012-012-9538-1

Comparison of denoising methods for the early detection of fatigue bearing defects by vibratory analysis

F Bolaers, O Cousinard, P Estocq, X Chiementin and J-P Dron
Journal of Vibration and Control 17 (13) 1983 (2011)
https://doi.org/10.1177/1077546309348853