A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Fault Identify Of Bearing Using Enhanced Hilbert-Huang Transform
[article]
2017
Zenodo
Today the maintenance and repair based on condition monitoring techniques of rotating equipment are one of the most important tools to prevent stopping of production and reduce the cost of maintenance and repair and the vibration analysis according to the width of identifiable defects scope has a specific importance. In this paper, we discuss rolling bearings defects detection with using of normalized Hilbert Huang approach.
doi:10.5281/zenodo.1155305
fatcat:qinf24ft3fg2jntrms3spfbhry