Faults Diagnostics of Railway Axle Bearings Based on IMF’s Confidence Index Algorithm for Ensemble EMD

Faults Diagnostics of Railway Axle Bearings Based on IMF’s Confidence Index Algorithm for Ensemble EMD

As train loads and travel speeds have increased over time, railway axle bearings have become critical elements which require more efficient non-destructive inspection and fault diagnostics methods. This paper presents a novel and adaptive procedure based on ensemble empirical mode decomposition (EEM...

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Bibliographic Details
Main Authors: Cai Yi, Jianhui Lin, Weihua Zhang, Jianming Ding
Format: Article
Language:English
Published: MDPI AG 2015-05-01
Series:Sensors
Subjects:
ensemble empirical mode decomposition
Hilbert transform
axle bearing
fault diagnostics
intrinsic mode function
marginal spectrum
Online Access:http://www.mdpi.com/1424-8220/15/5/10991

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