Rolling Element Bearing Fault Detection Using Vibrating Signals Segmentation

The paper promotes a new method for change detection and optimal segmentation of vibrating signals, to be applied in fault detection of rolling element (REB) operating. After a description of the REB model, with its specific defects, the paper makes a review of the change detection and segmentation approaches, that could be used in REB fault detection and diagnosis, implemented in a specialized Matlab toolbox. In this framework, an approach for change detection and optimal segmentation of vibrating signals, with the object to determine the change points in the signals generated by the faults produced during REB operating is presented. Finally, the experimental results obtained using some data sets from Case Western Reserve University Bearing Data Center are included in the paper.

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