Impulse Feature Extraction of Bearing Faults Based on Convolutive Nonnegative Matrix Factorization

The detection of bearing faults is of great significance for the stable operation of rotating machinery. Apart from detection by analysing the vibration response, another powerful strategy is to extract the periodic impulse excitation directly induced by faults, which efficiently eliminates the infl...

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Bibliographic Details
Main Authors: Lin Liang, Lei Shan, Fei Liu, Maolin Li, Ben Niu, Guanghua Xu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9090173/