Bearing condition monitoring based on shock pulse method and improved redundant lifting scheme
Mathematics and Computers in Simulation
Null space pursuit: an operator-based approach to adaptive signal separation
IEEE Transactions on Signal Processing
Localization of the complex spectrum: the S transform
IEEE Transactions on Signal Processing
Adaptive Signal Decomposition Based on Local Narrow Band Signals
IEEE Transactions on Signal Processing - Part I
IEEE Transactions on Signal Processing
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In this paper, a novel measurement method based on null space pursuit and S transform is presented to detect the faults of the bearing vibration signal. Since the features of bearing faults in the vibration signal may be submerged by machine-borne vibration and the high intensity of noise, it is very difficult to detect the bearing faults directly. The proposed method is a hybrid of null space pursuit and S transform. As a signal separation approach, the null space pursuit based on operator can extract the fault components from the vibration signal efficiently. Then, S transform is introduced to represent a ''Magnitude-Frequency'' and a ''Time-Frequency'' contour of the extracted fault components. Finally, several real vibration signals containing bearing fault signature are investigated to verify the effectiveness of the proposed method.