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In order to overcome the shortcomings of the traditional envelope analysis in which manually specifying a resonant frequency band is required, a novel approach based on the ensemble empirical mode decomposition (EEMD) and envelope spectrum is proposed for detecting Localized defects in rolling bearings. This approach can extract the characteristic frequencies related to the defect from the resonant...
Run-up and run-down are of particular interest in condition monitoring of gearbox as they highlight many unobservable system faults. However, varying speed machinery faults detection is fraught with difficulties due to non-stationary machine vibration. Fixed time sampling cannot cope with the varying rotational frequency of the machine, resulting in increasing leakage error and spectral smearing....
A new method to fault diagnosis of bearing based on order tracking technique and autoregressive (AR) spectrum is presented. Firstly, the transient vibration signals during run-up condition of gearbox are re-sampled using order tracking technique. Therefore, the time domain transient signals are transformed into angle domain stationary signals. Then the AR model estimation is applied to angle domain...
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