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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 inner and outer race fault according to bi-spectrum analysis technique is presented. The bi-spectrum analysis is widely recognized as an effective technique for machinery fault diagnosis using vibration signals since it can be used to eliminate the effect of strong noise. This advantage makes it very suitable for extracting useful features from...
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...
A new demodulation approach to fault diagnosis of bearing based on Teager energy operator (TEO) technique is presented. Firstly, TEO can tracks the modulation energy of the vibration signal and estimates the instantaneous amplitude. Secondly, the envelope spectrum is applied to the instantaneous amplitude. Therefore, the character of the bearing faults can be recognized according to the envelope spectrum...
The speed-up and speed-down of the gearbox are non-stationary process and the vibration signal can not be processed by traditional processing method. In order to process the non-stationary vibration signals such as speed-up or speed-down signals effectively, the order envelope analysis technique is presented. This new method combines order tracking technique with envelope spectrum analysis. Firstly,...
The bi-cepstrum technique is presented based on bi-spectrum and cepstrum analysis. This new method combines bi-spectrum technique with cepstrum analysis. Firstly, in order to eliminate the noise effects, the bi-spectrum is calculated. Then the bi-spectrum is processed by bi-cepstrum technique. The experimental results show that bi-cepstrum technique can effectively diagnosis the faults of the gear.
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