Article ID Journal Published Year Pages File Type
563971 Signal Processing 2014 10 Pages PDF
Abstract

•Bearing fault components extracted by null space pursuit algorithm (NSP).•Iterations of NSP are reduced by adaptively modifying the neighborhood parameter.•The hybrid of NSP and S transform is used to detect the fault information.

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.

Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slide

Related Topics
Physical Sciences and Engineering Computer Science Signal Processing
Authors
, , , , ,