Application of EMD method and Hilbert spectrum to the fault diagnosis of roller bearings

By Dejie Yu, Junsheng Cheng, Yu Yang. 2005

534 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/bbbc622b50edad534ae8bd76556efefa06cddbb4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. D. Michael McFarland
2. Lawrence A. Bergman
3. Alexander F. Vakakis
4. Young Sup Lee

Citations in the corpus

• A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm (2017, methodology): “Yu et al. (2005) proposed a fault diagnosis of roller bearings based on empirical mode decomposition method and Hilbert spectrum.”
• A global–local approach to nonlinear system identification: A review (2010, background): “[27,35–37], numerous applications to system identification [38–40], nonlinear dynamics [41–44] and damage detection [45,46] have appeared.”