Remaining useful life prediction of rolling bearing using adaptive sparsest narrow-band decomposition and locality preserving projections
There are two difficulties in the remaining useful life prediction of rolling bearings. First, the vibration signals are always interfered by noise signals. Second, some of the extracted features include useless information which may decrease the prediction accuracy. In order to solve the problems a...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2019-12-01
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Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1177/1687814019889771 |