Improvement of kurtosis-guided-grams via Gini index for bearing fault feature identification
Author:
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Publisher
IOP Publishing
Subject
Applied Mathematics,Instrumentation,Engineering (miscellaneous)
Link
http://iopscience.iop.org/article/10.1088/1361-6501/aa8a57/pdf
Reference38 articles.
1. Rolling element bearing diagnostics—A tutorial
2. An extensive review of vibration modelling of rolling element bearings with localised and extended defects
3. Current-Aided Order Tracking of Vibration Signals for Bearing Fault Diagnosis of Direct-Drive Wind Turbines
4. Detection of Rolling Element Bearing Damage by Statistical Vibration Analysis
5. Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings
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