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Varying speed machinery fault diagnosis is more difficult due to non-stationary machine dynamics and vibration. A new approach to fault diagnosis of bearing under running up based on angle domain average and Hilbert-Huang transform (HHT) phase map is presented. The non-stationary vibration signals are transformed from the time domain transient signal to angle domain stationary one using order tracking...
The degree of cyclostationarity technique is introduced and applied effectively to gearbox faults diagnosis under run-up condition. This new method combines order tracking technique with second order cyclo-stationary statistics analysis. The resampling signal can be obtained by resampling of the vibration signal that has been sampled in the time domain. Therefore, the time domain transient signal...
A method for monitoring and diagnosis the gear fault according to instantaneous energy spectrum based on the newly developed empirical mode decomposition (EMD) scheme 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...
Varying speed machinery condition detection and fault diagnosis are more difficult due to non-stationary machine dynamics and vibration. A new approach to fault diagnosis of bearing under running up based on order tracking and Hilbert-Huang transform (HHT) is presented. The non-stationary vibration signals are transformed from the time domain transient signal to angle domain stationary one using order...
The order bi-cepstrum technique is introduced and applied effectively to gearbox faults diagnosis under run-up condition. This new method combines order tracking technique with bi-cepstrum analysis. The resampling signal can be obtained by resampling of the vibration signal that has been sampled in the time domain. Therefore, the time domain transient signal is changed into angle domain stationary...
In order to process the non-stationary vibration signals during run-up of gearbox, the method based on angle domain average and autoregressive spectrum analysis is presented. This new method combines angle domain average with angle domain average technique. Firstly, the vibration signal is sampled at constant time increments and then uses software to resample the data at constant angle increments...
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,...
A novel method to fault diagnosis of gear crack based on empirical mode decomposition (EMD) and autoregressive (AR) spectrum is presented. This method can carry out empirical mode decomposition and extract feature information of different machine parts in condition monitoring and fault diagnosis of machinery. The main objective of empirical mode decomposition is to separate the time series data into...
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....
The order bi-cepstrum technique is introduced and applied effectively to gearbox faults diagnosis under run-up condition. This new method combines order tracking technique with bi-cepstrum analysis. The resampling signal can be obtained by resampling of the vibration signal that has been sampled in the time domain. Therefore, the time domain transient signal is changed into angle domain stationary...
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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