An Integrated Approach to Rotating Machinery Fault Diagnosis Using, EEMD, SVM, and Augmented Data
Crossref DOI link: https://doi.org/10.1007/s42417-019-00167-4
Published Online: 2019-08-15
Published Print: 2020-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Lobato, Thiago H. G.
da Silva, Roger R.
da Costa, Ednelson S.
Mesquita, Alexandre L. A. http://orcid.org/0000-0001-5605-8381
Text and Data Mining valid from 2019-08-15
Version of Record valid from 2019-08-15
Article History
Received: 28 December 2018
Revised: 27 May 2019
Accepted: 5 August 2019
First Online: 15 August 2019