Gear fault feature extraction and diagnosis method under different load excitation based on EMD, PSO-SVM and fractal box dimension
Top Cited Papers
- 26 February 2019
- journal article
- research article
- Published by Springer Science and Business Media LLC in Journal of Mechanical Science and Technology
- Vol. 33 (2), 487-494
- https://doi.org/10.1007/s12206-019-0101-z
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- Fault features analysis of cracked gear considering the effects of the extended tooth contactEngineering Failure Analysis, 2014
- A time domain approach to diagnose gearbox fault based on measured vibration signalsJournal of Sound and Vibration, 2014
- A roller bearing fault diagnosis method based on hierarchical entropy and support vector machine with particle swarm optimization algorithmMeasurement, 2014
- Multi-fault classification based on wavelet SVM with PSO algorithm to analyze vibration signals from rolling element bearingsNeurocomputing, 2013
- Optimal Bayesian estimation and control scheme for gear shaft fault detectionComputers & Industrial Engineering, 2012
- Research on dynamics and fault mechanism of spur gear pair with spalling defectJournal of Sound and Vibration, 2012
- Dynamic simulation of spur gear with tooth root crack propagating along tooth width and crack depthEngineering Failure Analysis, 2011
- Strong nonlinearity analysis for gear-bearing system under nonlinear suspension—bifurcation and chaosNonlinear Analysis: Real World Applications, 2010
- A gear fault diagnosis using Hilbert spectrum based on MODWPT and a comparison with EMD approachMeasurement, 2009
- Intelligent fault diagnosis of rolling element bearing based on SVMs and fractal dimensionMechanical Systems and Signal Processing, 2007