Fault diagnosis of rotating machinery using an improved HHT based on EEMD and sensitive IMFs
- 6 November 2009
- journal article
- Published by IOP Publishing in Measurement Science and Technology
- Vol. 20 (12)
- https://doi.org/10.1088/0957-0233/20/12/125701
Abstract
No abstract availableThis publication has 21 references indexed in Scilit:
- Gear crack level identification based on weighted K nearest neighbor classification algorithmMechanical Systems and Signal Processing, 2009
- Machine fault feature extraction based on intrinsic mode functionsMeasurement Science and Technology, 2008
- New clustering algorithm-based fault diagnosis using compensation distance evaluation techniqueMechanical Systems and Signal Processing, 2008
- Hilbert–Huang transform for detection and monitoring of crack in a transient rotorMechanical Systems and Signal Processing, 2007
- Bearing fault diagnosis using FFT of intrinsic mode functions in Hilbert–Huang transformMechanical Systems and Signal Processing, 2006
- Gearbox fault diagnosis using empirical mode decomposition and Hilbert spectrumMechanical Systems and Signal Processing, 2005
- A comparison study of improved Hilbert–Huang transform and wavelet transform: Application to fault diagnosis for rolling bearingMechanical Systems and Signal Processing, 2004
- Application of EMD method and Hilbert spectrum to the fault diagnosis of roller bearingsMechanical Systems and Signal Processing, 2003
- A NEW VIEW OF NONLINEAR WATER WAVES: The Hilbert SpectrumAnnual Review of Fluid Mechanics, 1999
- The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysisProceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 1998