Noise eliminated ensemble empirical mode decomposition for bearing fault diagnosis

• Main Authors: Atik, Faysal, Ngui, Wai Keng, Lim, M. H.
• Format: Article
• Language: English
• Published: Springer Link 2021
• Subjects: TA Engineering (General). Civil engineering (General); TJ Mechanical engineering and machinery
• Online Access: http://umpir.ump.edu.my/id/eprint/31924/1/jvet%20Final%202.pdf; http://umpir.ump.edu.my/id/eprint/31924/; https://link.springer.com/article/10.1007/s42417-021-00358-y#article-info; https://doi.org/10.1007/s42417-021-00358-y

Although noise-assisted decomposition methods, ensemble empirical mode decomposition (EEMD) and complementary EEMD (CEEMD) can reduce the drawbacks of empirical mode decomposition (EMD), they cannot fully eliminate the presence of white noise. In this paper, a method named noise eliminated EEMD (NEE...