Application of EMD and 1.5-dimensional spectrum in fault feature extraction of rolling bearing

Application of EMD and 1.5-dimensional spectrum in fault feature extraction of rolling bearing

The original signal of rolling bearing fault contains a large number of phase coupling components and is easily submerged in the background noise, which make the fault information difficult to be extracted accurately. Aiming at the above problems, a method of fault feature extraction for rolling bea...

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Bibliographic Details
Main Authors: Zhanglei Jiang, Yapeng Wu, Jun Li, Yaru Liu, Jifang Wang, Xiaoli Xu
Format: Article
Language:English
Published: Wiley 2019-12-01
Series:The Journal of Engineering
Subjects:
feature extraction
machine bearings
hilbert transforms
mechanical engineering computing
rolling bearings
fault diagnosis
vibrations
signal processing
outer rings
bearing inner rings
actual rolling bearings
fault characteristic frequency
hilbert envelope signal
high-frequency components
fault information
phase coupling components
bearing fault
rolling bearing
fault feature extraction
1.5-dimensional spectrum
emd
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9121

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https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9121

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