EEMD-Based Steady-State Indexes and Their Applications to Condition Monitoring and Fault Diagnosis of Railway Axle Bearings
Author:
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Link
http://www.mdpi.com/1424-8220/18/3/704/pdf
Reference45 articles.
1. Faults Diagnostics of Railway Axle Bearings Based on IMF’s Confidence Index Algorithm for Ensemble EMD
2. Observing early stage rail axle bearing damage
3. Novel Efficient Technologies in Europe for Axle Bearing Condition Monitoring – the MAXBE Project
4. Online condition monitoring of rolling stock wheels and axle bearings
5. Wayside acoustic defective bearing detection based on improved Dopplerlet transform and Doppler transient matching
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