Fault diagnosis of rolling bearings in non-stationary running conditions using improved CEEMDAN and multivariate denoising based on wavelet and principal component analyses
Crossref DOI link: https://doi.org/10.1007/s00170-020-05311-z
Published Online: 2020-04-22
Published Print: 2020-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Chaabi, Lilia
Lemzadmi, Ahcene
Djebala, Abderrazek
Bouhalais, Mohamed Lamine
Ouelaa, Nouredine
Text and Data Mining valid from 2020-04-01
Version of Record valid from 2020-04-01
Article History
Received: 2 January 2020
Accepted: 7 April 2020
First Online: 22 April 2020