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A signal analysis technique for bearing fault diagnosis based on ensemble empirical mode decomposition (EEMD) and Hilbert-Huang transform (HHT) is presented. EEMD can adaptively decompose vibration signal into a series of zero mean Amplitude Modulation-Frequency Modulation (AM-FM) Intrinsic Mode Functions (IMFs) without mode mixing. Hilbert transform tracks the modulation energy of the interesting...
A novel method for detection and diagnosis the bearing fault according to instantaneous energy spectrum (IES) based on empirical mode decomposition (EMD) method is presented. EMD can adaptively decompose the vibration signal into a series of zero mean oscillatory functions called intrinsic mode functions (IMFs). Hilbert transform can track the instantaneous amplitude and instantaneous frequency of...
A new approach to fault diagnosis of gear wear based on Teager-Huang transform is presented. This method is based on Empirical Mode Decomposition (EMD) and Teager Kaiser Energy Operator (TKEO) technique. EMD can adaptively decompose the vibration signal into a series of zero mean Amplitude Modulation-Frequency Modulation (AM-FM)Intrinsic Mode Functions (IMFs). TKEO can track the instantaneous amplitude...
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